Assurance

PASS 包含 50 多个Assurance程序，包括用于比较均值、比例、生存率、负二项式比率和泊松率的Assurance程序。每个程序都易于使用并经过验证以确保准确性。PASS 中的Assurance程序列表如下
Assurance for Two-Sample T-Tests Assuming Equal Variance
Assurance for Two-Sample Z-Tests Assuming Equal Variance
Assurance for Two-Sample T-Tests Allowing Unequal Variance
Assurance for Two-Sample T-Tests for Non-Inferiority Assuming Equal Variance
Assurance for Two-Sample T-Tests for Superiority by a Margin Assuming Equal Variance
Assurance for Two-Sample T-Tests for Equivalence Assuming Equal Variance
Assurance for Two-Sample T-Tests for Non-Inferiority Allowing Unequal Variance
Assurance for Two-Sample T-Tests for Superiority by a Margin Allowing Unequal Variance
Assurance for Two-Sample T-Tests for Equivalence Allowing Unequal Variance
-
Assurance for Tests for Two Proportions
Assurance for Non-Zero Null Tests for the Difference Between Two Proportions
Assurance for Non-Inferiority Tests for the Difference Between Two Proportions
Assurance for Superiority by a Margin Tests for the Difference Between Two Proportions
Assurance for Equivalence Tests for the Difference Between Two Proportions
Assurance for Non-Unity Null Tests for the Ratio of Two Proportions
Assurance for Non-Unity Null Tests for the Odds Ratio of Two Proportions
Assurance for Superiority by a Margin Tests for the Ratio of Two Proportions
Assurance for Non-Inferiority Tests for the Ratio of Two Proportions
Assurance for Superiority by a Margin Tests for the Odds Ratio of Two Proportions
Assurance for Non-Inferiority Tests for the Odds Ratio of Two Proportions
Assurance for Equivalence Tests for the Ratio of Two Proportions
Assurance for Equivalence Tests for the Odds Ratio of Two Proportions
-
Assurance for Logrank Tests (Freedman)
Assurance for Tests for Two Survival Curves Using Cox's Proportional Hazards Model
Assurance for Non-Inferiority Tests for Two Survival Curves Using Cox's Proportional Hazards Model
Assurance for Superiority by a Margin Tests for Two Survival Curves Using Cox's Proportional Hazards Model
Assurance for Equivalence Tests for Two Survival Curves Using Cox's Proportional Hazards Model
Assurance for Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
Assurance for Non-Inferiority Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
Assurance for Superiority by a Margin Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
Assurance for Equivalence Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
-
Assurance for Tests for the Ratio of Two Negative Binomial Rates
Assurance for Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates
Assurance for Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates
Assurance for Equivalence Tests for the Ratio of Two Negative Binomial Rates
-
Assurance for Tests for Two Means in a Cluster-Randomized Design
Assurance for Non-Inferiority Tests for Two Means in a Cluster-Randomized Design
Assurance for Superiority by a Margin Tests for Two Means in a Cluster-Randomized Design
Assurance for Equivalence Tests for Two Means in a Cluster-Randomized Design
Assurance for Tests for Two Proportions in a Cluster-Randomized Design
Assurance for Non-Zero Null Tests for the Difference of Two Proportions in a Cluster-Randomized Design
Assurance for Non-Inferiority Tests for the Difference of Two Proportions in a Cluster-Randomized Design
Assurance for Superiority by a Margin Tests for the Difference of Two Proportions in a Cluster-Randomized Design
Assurance for Equivalence Tests for the Difference of Two Proportions in a Cluster-Randomized Design
Assurance for Logrank Tests in a Cluster-Randomized Design
-
Assurance for Tests for the Difference Between Two Poisson Rates
Assurance for Tests for the Ratio of Two Poisson Rates
Assurance for Non-Inferiority Tests for the Ratio of Two Poisson Rates
Assurance for Superiority by a Margin Tests for the Ratio of Two Poisson Rates
Assurance for Equivalence Tests for the Ratio of Two Poisson Rates
-
Assurance for Non-Inferiority Tests for Vaccine Efficacy using the Ratio of Two Proportions
Assurance for Superiority by a Margin Tests for Vaccine Efficacy using the Ratio of Two Proportions

Bland-Altman Method

Bland-Altman Method for Assessing Agreement in Method Comparison Studies

Bridging Studies

Bridging Study using the Equivalence Test of Two Groups (Continuous Outcome)
Bridging Study using a Non-Inferiority Test of Two Groups (Continuous Outcome)
Bridging Study using the Equivalence Test of Two Groups (Binary Outcome)
Bridging Study using a Non-Inferiority Test of Two Groups (Binary Outcome)
Bridging Study Sensitivity Index
Bridging Study Test of Sensitivity using a Two-Group T-Test (Continuous Outcome)

Cluster-Randomized Designs

Tests for Two Means from a Cluster-Randomized Design
Tests for Two Means in a Stepped-Wedge Cluster-Randomized Design - Complete Design
Tests for Two Means in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom)
Tests for the Matched-Pair Difference of Two Means in a Cluster-Randomized Design
Non-Inferiority Tests for Two Means in a Cluster-Randomized Design
Equivalence Tests for Two Means in a Cluster-Randomized Design
Superiority by a Margin Tests for Two Means in a Cluster-Randomized Design
Tests for the Difference Between Two Poisson Rates in a Cluster-Randomized Design
Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Complete Design
Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom)
Tests for the Matched-Pair Difference of Two Event Rates in a Cluster-Randomized Design
Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled)
Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled)
Tests for Two Proportions in a Cluster-Randomized Design – Likelihood Score Test
Tests for Two Proportions in a Cluster-Randomized Design using Proportions
Tests for Two Proportions in a Cluster-Randomized Design using Differences
Tests for Two Proportions in a Cluster-Randomized Design using Ratios
Tests for Two Proportions in a Stepped-Wedge Cluster-Randomized Design - Complete Design
Tests for Two Proportions in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom)
Tests for the Matched-Pair Difference of Two Proportions in a Cluster-Randomized Design
Equivalence Tests of Two Proportions in a Cluster-Randomized Design – Z Test (Pooled)
Equivalence Tests of Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled)
Equivalence Tests of Two Proportions in a Cluster-Randomized Design – Likelihood Score Test
Equivalence Tests of Two Proportions in a Cluster-Randomized Design using Proportions
Equivalence Tests of Two Proportions in a Cluster-Randomized Design using Differences
Equivalence Tests of Two Proportions in a Cluster-Randomized Design using Ratios
Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design – Z Test (Pooled)
Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled)
Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design – Likelihood Score Test
Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design using Proportions
Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design using Differences
Non-Inferiority Tests of Two Proportions in a Cluster-Randomized Design using Ratios
Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled)
Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled)
Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled)
Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design using Proportions
Superiority by a Margin Tests for the Difference of Two Proportions in a Cluster-Randomized Design
Superiority by a Margin Tests for the Ratio of Two Proportions in a Cluster-Randomized Design
GEE Tests for Two Means in a Stratified Cluster-Randomized Design
GEE Tests for Two Means in a Cluster-Randomized Design
GEE Tests for Multiple Means in a Cluster-Randomized Design
GEE Tests for Multiple Proportions in a Cluster-Randomized Design
GEE Tests for Multiple Poisson Rates in a Cluster-Randomized Design
Tests for Two Proportions in a Stratified Cluster-Randomized Design (Cochran-Mantel-Haenszel Test)
Tests for the Difference Between Two Poisson Rates in a Cluster-Randomized Design with Adjustment for Varying Cluster Sizes
Mixed Models Tests for Two Means in a Cluster-Randomized Design
Multi-Arm Tests for Treatment and Control Proportions in a Cluster-Randomized Design
Multi-Arm, Non-Inferiority Tests for Treatment and Control Proportions in a Cluster-Randomized Design
Multi-Arm Tests for Treatment and Control Means in a Cluster-Randomized Design
Multi-Arm, Non-Inferiority Tests for Treatment and Control Means in a Cluster-Randomized Design

Conditional Power

Conditional Power of One-Sample T-Tests
Conditional Power of Two-Sample T-Tests
Conditional Power of Two-Sample T-Tests – Unequal n’s
Conditional Power of Paired T-Tests
Conditional Power of 2x2 Cross-Over Designs
Conditional Power of Logrank Tests
Conditional Power of One-Proportion Tests
Conditional Power of Two-Proportions Tests
Conditional Power of Two-Proportions Tests – Unequal n’s
Conditional Power of Two-Sample T-Tests for Non-Inferiority
Conditional Power of Two-Sample T-Tests for Superiority by a Margin
Conditional Power of Non-Inferiority Tests for the Difference Between Two Proportions
Conditional Power of Superiority by a Margin Tests for the Difference Between Two Proportions
Conditional Power of Non-Inferiority Logrank Tests
Conditional Power of Superiority by a Margin Logrank Tests
Conditional Power of Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design
Conditional Power of Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design
Conditional Power of One-Sample T-Tests for Non-Inferiority
Conditional Power of One-Sample T-Tests for Superiority by a Margin
Conditional Power of Paired T-Tests for Non-Inferiority
Conditional Power of Paired T-Tests for Superiority by a Margin
Conditional Power of Non-Inferiority Tests for One Proportion
Conditional Power of Superiority by a Margin Tests for One Proportion

Confidence Intervals

Confidence Intervals for Pearson’s Correlation
Confidence Intervals for Spearman’s Rank Correlation
Confidence Intervals for Kendall’s Tau-b Correlation
Confidence Intervals for Point Biserial Correlation
Confidence Intervals for Intraclass Correlation
Confidence Intervals for Coefficient Alpha
Confidence Intervals for Kappa
Confidence Intervals for One Mean with Known Standard Deviation
Confidence Intervals for One Mean with Sample Standard Deviation
Confidence Intervals for One Mean with Tolerance Probability with Known Standard Deviation
Confidence Intervals for One Mean with Tolerance Probability with Sample Standard Deviation
Confidence Intervals for One Mean in a Stratified Design
Confidence Intervals for One Mean in a Cluster-Randomized Design
Confidence Intervals for One Mean in a Stratified Cluster-Randomized Design
Confidence Intervals for the Difference between Two Means Assuming Equal Standard Deviations
Confidence Intervals for the Difference between Two Means Assuming Unequal Standard Deviations
Confidence Intervals for the Difference between Two Means with Tolerance Probability with Known Standard Deviation
Confidence Intervals for the Difference between Two Means with Tolerance Probability with Sample Standard Deviation
Confidence Intervals for Paired Means with Known Standard Deviation
Confidence Intervals for Paired Means with Sample Standard Deviation
Confidence Intervals for Paired Means with Tolerance Probability with Known Standard Deviation
Confidence Intervals for Paired Means with Tolerance Probability with Sample Standard Deviation
Confidence Intervals for One-Way Repeated Measures Contrasts
Confidence Intervals for One Proportion – Exact (Clopper-Pearson)
Confidence Intervals for One Proportion – Score (Wilson)
Confidence Intervals for One Proportion – Score (Continuity Correction)
Confidence Intervals for One Proportion – Simple Asymptotic
Confidence Intervals for One Proportion – Simple Asymptotic (Continuity Correction)
Confidence Intervals for One Proportion from a Finite Population
Confidence Intervals for One Proportion in a Stratified Design
Confidence Intervals for One Proportion in a Cluster-Randomized Design
Confidence Intervals for One Proportion in a Stratified Cluster-Randomized Design
Confidence Intervals for One-Sample Sensitivity
Confidence Intervals for One-Sample Specificity
Confidence Intervals for One-Sample Sensitivity and Specificity
Confidence Intervals for Two Proportions – Score (Farrington & Manning)
Confidence Intervals for Two Proportions – Score (Farrington & Manning) – Unequal n’s
Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen)*
Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen) – Unequal n’s
Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam)
Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam) – Unequal n’s
Confidence Intervals for Two Proportions – Score (Wilson)
Confidence Intervals for Two Proportions – Score (Wilson) – Unequal n’s
Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson)
Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson) – Unequal n’s
Confidence Intervals for Two Proportions – Chi-Square with Continuity Correction (Yates)
Confidence Intervals for Two Proportions – Chi-Square with Continuity Correction (Yates) – Unequal n’s
Confidence Intervals for Two Proportions – Chi-Square (Pearson)
Confidence Intervals for Two Proportions – Chi-Square (Pearson) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning)
Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen)
Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam)
Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz)
Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter)
Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Fleiss
Confidence Intervals for Two Proportions using Ratios – Fleiss – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional)
Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional) – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning)
Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning) – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen)
Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen) – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Fleiss
Confidence Intervals for Two Proportions using Odds Ratios – Fleiss – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Logarithm
Confidence Intervals for Two Proportions using Odds Ratios – Logarithm – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Mantel-Haenszel
Confidence Intervals for Two Proportions using Odds Ratios – Mantel-Haenszel – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Simple
Confidence Intervals for Two Proportions using Odds Ratios – Simple – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2
Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2 – Unequal n’s
Confidence Intervals for the Odds Ratio in a Logistic Regression with One Binary Covariate
Confidence Intervals for the Odds Ratio in a Logistic Regression with Two Binary Covariates
Confidence Intervals for the Interaction Odds Ratio in a Logistic Regression with Two Binary Covariates
Confidence Intervals for Linear Regression Slope
Confidence Intervals for Michaelis-Menten Parameters
Confidence Intervals for One Standard Deviation using Standard Deviation
Confidence Intervals for One Standard Deviation using Relative Error
Confidence Intervals for One Standard Deviation with Tolerance Probability – Known Standard Deviation
Confidence Intervals for One Standard Deviation with Tolerance Probability – Sample Standard Deviation
Confidence Intervals for One Variance using Variance
Confidence Intervals for One Variance using Relative Error
Confidence Intervals for One Variance with Tolerance Probability – Known Variance
Confidence Intervals for One Variance with Tolerance Probability – Sample Variance
Confidence Intervals for the Ratio of Two Variances using Variances
Confidence Intervals for the Ratio of Two Variances using Variances – Unequal n’s
Confidence Intervals for the Ratio of Two Variances using Relative Error
Confidence Intervals for the Ratio of Two Variances using Relative Error – Unequal n’s
Confidence Intervals for the Exponential Lifetime Mean
Confidence Intervals for the Exponential Hazard Rate
Confidence Intervals for an Exponential Lifetime Percentile
Confidence Intervals for Exponential Reliability
Confidence Intervals for a Percentile of a Normal Distribution
Confidence Intervals for the Area Under an ROC Curve
Confidence Intervals for the Area Under an ROC Curve – Unequal n’s

Correlation

Tests for Two Correlations
Tests for Two Correlations – Unequal n’s
Pearson’s Correlation Tests
Pearson’s Correlation Tests with Simulation
Spearman’s Rank Correlation Tests with Simulation
Kendall’s Tau-b Correlation Tests with Simulation
Point Biserial Correlation Tests
Power Comparison of Correlation Tests with Simulation
Confidence Intervals for Spearman’s Rank Correlation
Confidence Intervals for Kendall’s Tau-b Correlation
Confidence Intervals for Point Biserial Correlation
Tests for One Coefficient (or Cronbach's) Alpha
Tests for Two Coefficient (or Cronbach's) Alphas
Tests for Two Coefficient (or Cronbach's) Alphas – Unequal n’s
Confidence Intervals for Coefficient (or Cronbach's) Alpha
Tests for Intraclass Correlation
Confidence Intervals for Intraclass Correlation
Kappa Test for Agreement Between Two Raters
Confidence Intervals for Kappa
Lin's Concordance Correlation Coefficient

Cross-Over Designs

Tests for Two Means in a 2x2 Cross-Over Design using Differences
Tests for Two Means in a 2x2 Cross-Over Design using Ratios
Tests for the Difference of Two Means in a Higher-Order Cross-Over Design
Tests for the Ratio of Two Means in a Higher-Order Cross-Over Design
M x M Cross-Over Designs
M-Period Cross-Over Designs using Contrasts
Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Differences
Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Ratios
Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Differences
Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
Equivalence Tests for Two Means in a 2x2 Cross-Over Design using Differences
Equivalence Tests for Two Means in a 2x2 Cross-Over Design using Ratios
Equivalence Tests for Two Means in a Higher-Order Cross-Over Design using Differences
Equivalence Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Differences
Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Ratios
Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Differences
Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
Conditional Power of 2x2 Cross-Over Designs
Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
Non-Inferiority Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
Superiority by a Margin Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
Equivalence Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
Non-Inferiority Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
Superiority by a Margin Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
Equivalence Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
Non-Inferiority Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
Superiority by a Margin Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
Equivalence Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design
Non-Inferiority Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design
Superiority by a Margin Tests for the Gen. Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design
Equivalence Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design
Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
Non-Inferiority Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
Superiority by a Margin Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
Equivalence Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
Tests for Pairwise Mean Differences in a Williams Cross-Over Design
Non-Inferiority Tests for Pairwise Mean Differences in a Williams Cross-Over Design
Superiority by a Margin Tests for Pairwise Mean Differences in a Williams Cross-Over Design
Equivalence Tests for Pairwise Mean Differences in a Williams Cross-Over Design
Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
Non-Unity Null Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
Non-Inferiority Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
Superiority by a Margin Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
Non-Unity Null Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
Non-Inferiority Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
Superiority by a Margin Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
Tests for Two Total Variances in a 2×2 Cross-Over Design
Non-Unity Null Tests for Two Total Variances in a 2×2 Cross-Over Design
Non-Inferiority Tests for Two Total Variances in a 2×2 Cross-Over Design
Superiority by a Margin Tests for Two Total Variances in a 2×2 Cross-Over Design
Bioequivalence Tests for AUC and Cmax in a 2x2 Cross-Over Design (Log-Normal Data)

Equivalence

Equivalence Tests for Paired Means (Simulation) – T-Test
Equivalence Tests for Paired Means (Simulation) – Wilcoxon Test
Equivalence Tests for Paired Means (Simulation) – Sign Test
Equivalence Tests for Paired Means (Simulation) – Bootstrap
Equivalence Tests for Two Means using Differences
Equivalence Tests for Two Means using Differences – Unequal n’s
Equivalence Tests for Two Means using Ratios
Equivalence Tests for the Ratio of Two Poisson Rates
Equivalence Tests for the Ratio of Two Poisson Rates – Unequal n’s
Equivalence Tests for the Ratio of Two Negative Binomial Rates
Equivalence Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
Equivalence Tests for the Difference Between Two Paired Means
Equivalence Tests for Two Means using Ratios – Unequal n’s
Equivalence Tests for Two Means (Simulation) – T-Test
Equivalence Tests for Two Means (Simulation) – T-Test – Unequal n’s
Equivalence Tests for Two Means (Simulation) – Welch Test
Equivalence Tests for Two Means (Simulation) – Welch Test – Unequal n’s
Equivalence Tests for Two Means (Simulation) – Trim T-Test
Equivalence Tests for Two Means (Simulation) – Trim T-Test – Unequal n’s
Equivalence Tests for Two Means (Simulation) – Trim Welch Test
Equivalence Tests for Two Means (Simulation) – Trim Welch Test – Unequal n’s
Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test
Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test – Unequal n’s
Equivalence Tests for Two Means in a 2x2 Cross-Over Design
Equivalence Tests for Two Means in a 2x2 Cross-Over Design using Ratios
Equivalence Tests for Two Means in a Higher-Order Cross-Over Design
Equivalence Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
Equivalence Tests for Two Means in a Cluster-Randomized Design
Equivalence Tests for One Proportion – Exact Test
Equivalence Tests for One Proportion – Z Test using S(P0)
Equivalence Tests for One Proportion – Z Test using S(P0) with Continuity Correction
Equivalence Tests for One Proportion – Z Test using S(Phat)
Equivalence Tests for One Proportion – Z Test using S(Phat) with Continuity Correction
Equivalence Tests for Two Proportions – Z Test (Pooled)
Equivalence Tests for Two Proportions – Z Test (Pooled) – Unequal n’s
Equivalence Tests for Two Proportions – Z Test (Unpooled)
Equivalence Tests for Two Proportions – Z Test (Unpooled) – Unequal n’s
Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction
Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction – Unequal n’s
Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction
Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction – Unequal n’s
Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning)
Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam)
Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
Equivalence Tests for Two Correlated Proportions
Equivalence Tests for Two Correlated Proportions using Ratios
Equivalence Tests for Two Proportions in a Cluster-Randomized Design
Equivalence Tests for Two Proportions in a Cluster-Randomized Design – Unequal n’s
Equivalence Tests for Two Proportions in a Cluster-Randomized Design using Ratios
Equivalence Tests for Two Proportions in a Cluster-Randomized Design using Ratios – Unequal n’s
Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model
Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s
Equivalence Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
Equivalence Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
Equivalence Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
Equivalence Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
Equivalence Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
Equivalence Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design
Equivalence Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
Equivalence Tests for Pairwise Mean Differences in a Williams Cross-Over Design
Equivalence Tests for Simple Linear Regression
Equivalence Tests for the Ratio of Two Within-Subject Variances in a Parallel Design
Equivalence Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design
Equivalence Tests for the Difference of Two Within-Subject CV's in a Parallel Design
Equivalence Tests for the Ratio of Two Variances
One-Sample Z-Tests for Equivalence
Paired Z-Tests for Equivalence
Two-Sample T-Tests for Equivalence Allowing Unequal Variance
Bioequivalence Tests for AUC and Cmax in a 2x2 Cross-Over Design (Log-Normal Data)
Multi-Arm, Equivalence Tests of the Difference Between Treatment and Control Proportions
Multi-Arm, Equivalence Tests of the Ratio of Treatment and Control Proportions
Multi-Arm, Equivalence Tests of the Odds Ratio of Treatment and Control Proportions
Multi-Arm, Equivalence Tests of the Difference Between Treatment and Control Means Assuming Equal Variance
Multi-Arm, Equivalence Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variance
Multi-Arm, Equivalence Tests of the Ratio of Treatment and Control Means Assuming Log-Normal Data
Multi-Arm, Equivalence Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances
Multi-Arm, Equivalence Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model

Exponential Distribution Parameter Confidence Intervals

Confidence Intervals for the Exponential Lifetime Mean
Confidence Intervals for an Exponential Lifetime Percentile
Confidence Intervals for Exponential Reliability
Confidence Intervals for the Exponential Hazard Rate

Group-Sequential Tests

Group-Sequential Tests for One Mean with Known Variance (Simulation)
Group-Sequential T-Tests for One Mean (Simulation)
Group-Sequential Tests for Two Means with Known Variances (Simulation)
Group-Sequential T-Tests for Two Means (Simulation)
Group-Sequential Tests for Two Proportions (Simulation)
Group-Sequential Tests for Two Means
Group-Sequential Tests for Two Means – Unequal n’s
Group-Sequential Tests for Two Means (Simulation) Assuming Normality
Group-Sequential Tests for Two Means (Simulation) Assuming Normality – Unequal n’s
Group-Sequential Tests for Two Means (Simulation) General Assumptions
Group-Sequential Tests for Two Means (Simulation) General Assumptions – Unequal n’s
Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test
Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Means
Group-Sequential Non-Inferiority Tests for Two Means – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test
Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation)
Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation) – Unequal n’s
Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation)
Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation) – Unequal n’s
Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation)
Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation) – Unequal n’s
Group-Sequential Tests for One Proportion in a Fleming Design
Group-Sequential Tests for Two Proportions
Group-Sequential Tests for Two Proportions – Unequal n’s
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled)
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled)
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
Group-Sequential Tests for Two Proportions (Simulation) – Mantel-Haenszel
Group-Sequential Tests for Two Proportions (Simulation) – Mantel-Haenszel – Unequal n’s
Group-Sequential Tests for Two Proportions (Simulation) – Fisher’s Exact
Group-Sequential Tests for Two Proportions (Simulation) – Fisher’s Exact – Unequal n’s
Group-Sequential Tests for Two Proportions using Differences (Simulation)
Group-Sequential Tests for Two Proportions using Ratios (Simulation)
Group-Sequential Tests for Two Proportions using Odds Ratios (Simulation)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions using Differences (Simulation)
Group-Sequential Non-Inferiority Tests for Two Proportions using Ratios (Simulation)
Group-Sequential Non-Inferiority Tests for Two Proportions using Odds Ratios (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions using Differences (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Proportions using Ratios (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Proportions using Odds Ratios (Simulation)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Unequal n’s
Group-Sequential Logrank Tests of Two Survival Curves assuming Exponential Survival
Group-Sequential Logrank Tests of Two Survival Curves assuming Proportional Hazards
Group-Sequential Logrank Tests (Simulation)
Group-Sequential Logrank Tests (Simulation) – Unequal n’s
Group-Sequential Logrank Tests (Simulation) – Gehan-Wilcoxon
Group-Sequential Logrank Tests (Simulation) – Gehan-Wilcoxon – Unequal n’s
Group-Sequential Logrank Tests (Simulation) – Tarone-Ware
Group-Sequential Logrank Tests (Simulation) – Tarone-Ware – Unequal n’s
Group-Sequential Logrank Tests (Simulation) – Peto-Peto
Group-Sequential Logrank Tests (Simulation) – Peto-Peto – Unequal n’s
Group-Sequential Logrank Tests (Simulation) – Modified Peto-Peto
Group-Sequential Logrank Tests (Simulation) – Modified Peto-Peto – Unequal n’s
Group-Sequential Logrank Tests (Simulation) – Fleming-Harrington Custom Parameters
Group-Sequential Logrank Tests (Simulation) – Fleming-Harrington Custom Parameters – Unequal n’s
Group-Sequential Logrank Tests using Hazard Rates (Simulation)
Group-Sequential Logrank Tests using Median Survival Times (Simulation)
Group-Sequential Logrank Tests using Proportion Surviving (Simulation)
Group-Sequential Logrank Tests using Mortality (Simulation)
Group-Sequential Tests for Two Hazard Rates (Simulation)
Group-Sequential Tests for Two Hazard Rates (Simulation) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation)
Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation) – Unequal n’s
Group-Sequential Tests for One Hazard Rate (Simulation)
Group-Sequential Non-Inferiority Tests for One Hazard Rate (Simulation)
Group-Sequential Superiority by a Margin Tests for One Hazard Rate (Simulation)
Group-Sequential Tests for Two Poisson Rates (Simulation)
Group-Sequential Non-Inferiority Tests for Two Poisson Rates (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Poisson Rates (Simulation)
Group-Sequential Tests for One Poisson Rate (Simulation)
Group-Sequential Non-Inferiority Tests for One Poisson Rate (Simulation)
Group-Sequential Superiority by a Margin Tests for One Poisson Rate (Simulation)

Means - One

Tests for One Mean – T-Test
Tests for One Mean – Z-Test
Tests for One Mean – Wilcoxon Nonparametric Adjustment
Tests for One Mean – (Simulation) – T-Test
Tests for One Mean – (Simulation) – Wilcoxon Test
Tests for One Mean – (Simulation) – Sign Test
Tests for One Mean – (Simulation) – Bootstrap Test
Tests for One Mean – (Simulation) – Exponential Mean Test
Tests for One Exponential Mean with Replacement
Tests for One Exponential Mean without Replacement
Tests for One Mean using Effect Size
Tests for One Poisson Mean
Confidence Intervals for One Mean
Confidence Intervals for One Mean – Known Standard Deviation
Confidence Intervals for One Mean with Tolerance Probability
Confidence Intervals for One Mean with Tolerance Probability – Known Standard Deviation
Confidence Intervals for One Mean in a Stratified Design
Confidence Intervals for One Mean in a Cluster-Randomized Design
Confidence Intervals for One Mean in a Stratified Cluster-Randomized Design
Non-Inferiority Tests for One Mean
Superiority by a Margin Tests for One Mean
Multiple One-Sample T-Tests – False Discovery Rate
Multiple One-Sample Z-Tests – False Discovery Rate
Multiple One-Sample T-Tests – Experiment-wise Error Rate
Multiple One-Sample Z-Tests – Experiment-wise Error Rate
Conditional Power of One-Sample T-Tests
Hotelling’s One-Sample T2
Conditional Power of One-Sample T-Tests for Non-Inferiority
Conditional Power of One-Sample T-Tests for Superiority by a Margin
One-Sample T-Tests
One-Sample Z-Tests
One-Sample Z-Tests for Non-Inferiority
One-Sample Z-Tests for Superiority by a Margin
One-Sample Z-Tests for Equivalence
Wilcoxon Signed-Rank Tests
Wilcoxon Signed-Rank Tests for Non-Inferiority
Wilcoxon Signed-Rank Tests for Superiority by a Margin
Group-Sequential Tests for One Mean with Known Variance (Simulation)
Group-Sequential T-Tests for One Mean (Simulation)

Means - Two Correlated or Paired

Tests for Paired Means – T-Test
Tests for Paired Means – Z-Test
Tests for Paired Means (Simulation) – T-Test
Tests for Paired Means (Simulation) – Wilcoxon Test
Tests for Paired Means (Simulation) – Sign Test
Tests for Paired Means (Simulation) – Bootstrap Test
Tests for Paired Means using Effect Size
Tests for the Matched-Pair Difference of Two Means in a Cluster-Randomized Design
Tests for the Matched-Pair Difference of Two Event Rates in a Cluster-Randomized Design
Confidence Intervals for Paired Means with Known Standard Deviation
Confidence Intervals for Paired Means with Sample Standard Deviation
Confidence Intervals for Paired Means with Tolerance Probability with Known Standard Deviation
Confidence Intervals for Paired Means with Tolerance Probability with Sample Standard Deviation
Superiority by a Margin Tests for Paired Means
Equivalence Tests for Paired Means
Non-Inferiority Tests for Paired Means
Multiple Paired T-Tests
Conditional Power of Paired T-Tests
Paired T-Tests
Paired T-Tests for Non-Inferiority
Paired T-Tests for Superiority by a Margin
Paired Z-Tests
Paired Z-Tests for Non-Inferiority
Paired Z-Tests for Superiority by a Margin
Paired Z-Tests for Equivalence
Paired Wilcoxon Signed-Rank Tests
Paired Wilcoxon Signed-Rank Tests for Non-Inferiority
Paired Wilcoxon Signed-Rank Tests for Superiority by a Margin
Conditional Power of Paired T-Tests for Non-Inferiority
Conditional Power of Paired T-Tests for Superiority by a Margin

Means - Two Independent

Two-Sample T-Tests Assuming Equal Variances
Two-Sample T-Tests Assuming Equal Variances – Unequal n’s
Two-Sample T-Tests Allowing Unequal Variances
Two-Sample T-Tests Allowing Unequal Variances – Unequal n’s
Tests for Two Means (Simulation) – T-Test
Tests for Two Means (Simulation) – T-Test – Unequal n’s
Tests for Two Means (Simulation) – Welch’s T-Test
Tests for Two Means (Simulation) – Welch’s T-Test – Unequal n’s
Tests for Two Means (Simulation) – Trimmed T-Test
Tests for Two Means (Simulation) – Trimmed T-Test – Unequal n’s
Tests for Two Means (Simulation) – Trimmed Welch’s T-Test
Tests for Two Means (Simulation) – Trimmed Welch’s T-Test – Unequal n’s
Two-Sample T-Tests using Effect Size
Two-Sample T-Tests using Effect Size – Unequal n’s
Mann-Whitney-Wilcoxon Tests (Simulation)
Mann-Whitney-Wilcoxon Tests (Simulation) – Unequal n’s
Two-Sample Z-Tests Assuming Equal Variances
Two-Sample Z-Tests Assuming Equal Variances – Unequal n’s
Two-Sample Z-Tests Allowing Unequal Variances
Two-Sample Z-Tests Allowing Unequal Variances – Unequal n’s
Tests for Two Means using Ratios
Tests for Two Means using Ratios – Unequal n’s
Tests for Two Exponential Means
Tests for Two Exponential Means – Unequal n’s
Tests for Two Poisson Means – MLE
Tests for Two Poisson Means – MLE – Unequal n’s
Tests for Two Poisson Means – CMLE
Tests for Two Poisson Means – CMLE – Unequal n’s
Tests for Two Poisson Means – Ln(MLE)
Tests for Two Poisson Means – Ln(MLE) – Unequal n’s
Tests for Two Poisson Means – Ln(CMLE)
Tests for Two Poisson Means – Ln(CMLE) – Unequal n’s
Tests for Two Poisson Means – Variance Stabilized
Tests for Two Poisson Means – Variance Stabilized – Unequal n’s
Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Complete Design
Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom)
Confidence Intervals for the Difference between Two Means Assuming Equal Standard Deviations
Confidence Intervals for the Difference between Two Means Assuming Equal Standard Deviations – Unequal n’s
Confidence Intervals for the Difference between Two Means Assuming Unequal Standard Deviations
Confidence Intervals for the Difference between Two Means Assuming Unequal Standard Deviations – Unequal n’s
Confidence Intervals for the Difference between Two Means with Tolerance Probability with Known Standard Deviation
Confidence Intervals for the Difference between Two Means with Tolerance Probability with Known Standard Deviation – Unequal n’s
Confidence Intervals for the Difference between Two Means with Tolerance Probability with Sample Standard Deviation
Confidence Intervals for the Difference between Two Means with Tolerance Probability with Sample Standard Deviation – Unequal n’s
Non-Inferiority Tests for Two Means using Differences
Non-Inferiority Tests for Two Means using Differences – Unequal n’s
Non-Inferiority Tests for Two Means using Ratios
Non-Inferiority Tests for Two Means using Ratios – Unequal n’s
Non-Inferiority Tests for the Ratio of Two Poisson Rates
Non-Inferiority Tests for the Ratio of Two Poisson Rates – Unequal n’s
Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates
Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
Non-Inferiority Tests for Two Means in a Cluster-Randomized Design
Group-Sequential Tests for Two Means
Group-Sequential Tests for Two Means – Unequal n’s
Group-Sequential Tests for Two Means (Simulation) Assuming Normality
Group-Sequential Tests for Two Means (Simulation) Assuming Normality – Unequal n’s
Group-Sequential Tests for Two Means (Simulation) General Assumptions
Group-Sequential Tests for Two Means (Simulation) General Assumptions – Unequal n’s
Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test
Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Means
Group-Sequential Non-Inferiority Tests for Two Means – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test
Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation)
Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation) – Unequal n’s
Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation)
Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation) – Unequal n’s
Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation)
Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation) – Unequal n’s
Equivalence Tests for Two Means using Differences
Equivalence Tests for Two Means using Differences – Unequal n’s
Equivalence Tests for Two Means using Ratios
Equivalence Tests for the Ratio of Two Poisson Rates
Equivalence Tests for the Ratio of Two Poisson Rates – Unequal n’s
Equivalence Tests for the Ratio of Two Negative Binomial Rates
Equivalence Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
Equivalence Tests for Two Means in a Cluster-Randomized Design
Equivalence Tests for the Ratio of Two Means (Normal Data)
Equivalence Tests for Two Means using Ratios – Unequal n’s
Equivalence Tests for Two Means (Simulation) – T-Test
Equivalence Tests for Two Means (Simulation) – T-Test – Unequal n’s
Equivalence Tests for Two Means (Simulation) – Welch Test
Equivalence Tests for Two Means (Simulation) – Welch Test – Unequal n’s
Equivalence Tests for Two Means (Simulation) – Trim T-Test
Equivalence Tests for Two Means (Simulation) – Trim T-Test – Unequal n’s
Equivalence Tests for Two Means (Simulation) – Trim Welch Test
Equivalence Tests for Two Means (Simulation) – Trim Welch Test – Unequal n’s
Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test
Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test – Unequal n’s
Superiority by a Margin Tests for Two Means using Differences
Superiority by a Margin Tests for Two Means using Differences – Unequal n’s
Superiority by a Margin Tests for Two Means using Ratios
Superiority by a Margin Tests for Two Means using Ratios – Unequal n’s
Superiority by a Margin Tests for the Ratio of Two Poisson Rates
Superiority by a Margin Tests for the Ratio of Two Poisson Rates – Unequal n’s
Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates
Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
Superiority by a Margin Tests for Two Means in a Cluster-Randomized Design
Tests for Two Means from a Cluster-Randomized Design
Tests for Two Means from a Cluster-Randomized Design – Unequal n’s
Tests for Two Means in a Stepped-Wedge Cluster-Randomized Design - Complete Design
Tests for Two Means in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom)
Tests for Two Means in a Multicenter Randomized Design
Multiple Two-Sample T-Tests – False-Discovery Rate
Multiple Two-Sample T-Tests – False-Discovery Rate – Unequal n’s
Multiple Two-Sample T-Tests – Experiment-wise Error Rate
Multiple Two-Sample T-Tests – Experiment-wise Error Rate – Unequal n’s
Tests for Two Means from a Repeated Measures Design
Tests for Two Means from a Repeated Measures Design – Unequal n’s
Tests for Two Groups of Pre-Post Scores
Tests for Two Groups of Pre-Post Scores – Unequal n’s
Conditional Power of Two-Sample T-Tests
Conditional Power of Two-Sample T-Tests – Unequal n’s
Hotelling's Two-Sample T-Squared
Hotelling's Two-Sample T-Squared – Unequal n’s
Tests for Fold Change of Two Means
GEE Tests for the Slope of Two Groups in a Repeated Measures Design (Continuous Outcome)
GEE Tests for the TAD of Two Groups in a Repeated Measures Design (Continuous Outcome)
Mixed Models Tests for Two Means in a 2-Level Hierarchical Design (Level-2 Randomization)
Mixed Models Tests for Two Means in a 2-Level Hierarchical Design (Level-1 Randomization)
Mixed Models Tests for the Slope Difference in a 2-Level Hierarchical Design with Fixed Slopes
Mixed Models Tests for the Slope Difference in a 2-Level Hierarchical Design with Random Slopes
Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-3 Randomization)
Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-2 Randomization)
Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-1 Randomization)
Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Fixed Slopes (Level-2 Rand.)
Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Random Slopes (Level-2 Rand.)
Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Fixed Slopes (Level-3 Rand.)
Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Random Slopes (Level-3 Rand.)
Group-Sequential Tests for Two Means with Known Variances (Simulation)
Group-Sequential T-Tests for Two Means (Simulation)
Conditional Power of Two-Sample T-Tests for Non-Inferiority
Conditional Power of Two-Sample T-Tests for Superiority by a Margin
Mixed Models Tests for Two Means at the End of Follow-Up in a 3-Level Hierarchical Design (Level-3 Randomization)
Mixed Models Tests for Two Means at the End of Follow-Up in a 2-Level Hierarchical Design
Two-Sample T-Tests for Non-Inferiority Assuming Equal Variance
Two-Sample T-Tests for Non-Inferiority Allowing Unequal Variance
Two-Sample T-Tests for Superiority by a Margin Assuming Equal Variance
Two-Sample T-Tests for Superiority by a Margin Allowing Unequal Variance
Two-Sample T-Tests for Equivalence Allowing Unequal Variance
Mann-Whitney U or Wilcoxon Rank-Sum Tests
Mann-Whitney U or Wilcoxon Rank-Sum Tests for Non-Inferiority
Mann-Whitney U or Wilcoxon Rank-Sum Tests for Superiority by a Margin
GEE Tests for Two Means in a Stratified Cluster-Randomized Design
GEE Tests for Two Means in a Cluster-Randomized Design
Tests for Two Means in a Split-Mouth Design
Mixed Models Tests for Two Means in a Cluster-Randomized Design

Means - 2x2 Cross-Over Designs

Tests for Two Means in a 2x2 Cross-Over Design using Differences
Tests for Two Means in a 2x2 Cross-Over Design using Ratios
Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Differences
Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Ratios
Equivalence Tests for Two Means in a 2x2 Cross-Over Design using Differences
Equivalence Tests for Two Means in a 2x2 Cross-Over Design using Ratios
Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Differences
Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Ratios
Conditional Power of 2x2 Cross-Over Designs
Conditional Power of Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design
Conditional Power of Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design

Means - Higher-Order Cross-Over Designs

Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Differences
Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
Equivalence Tests for Two Means in a Higher-Order Cross-Over Design using Differences
Equivalence Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Differences
Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
Tests for the Difference of Two Means in a Higher-Order Cross-Over Design
Tests for the Ratio of Two Means in a Higher-Order Cross-Over Design
M x M Cross-Over Designs
M-Period Cross-Over Designs using Contrasts
Tests for Pairwise Mean Differences in a Williams Cross-Over Design
Non-Inferiority Tests for Pairwise Mean Differences in a Williams Cross-Over Design
Superiority by a Margin Tests for Pairwise Mean Differences in a Williams Cross-Over Design
Equivalence Tests for Pairwise Mean Differences in a Williams Cross-Over Design

Means - Many (ANOVA)

One-Way Analysis of Variance
One-Way Analysis of Variance – Unequal n’s
One-Way Analysis of Variance F-Tests (Simulation)
One-Way Analysis of Variance F-Tests (Simulation) – Unequal n’s
One-Way Analysis of Variance F-Tests using Effect Size
One-Way Analysis of Variance F-Tests using Effect Size – Unequal n’s
Power Comparison of Tests of Means in One-Way Designs (Simulation)
Power Comparison of Tests of Means in One-Way Designs (Simulation) – Unequal n’s
Analysis of Covariance (ANCOVA)
One-Way Analysis of Variance Contrasts
One-Way Analysis of Variance Contrasts
Analysis of Covariance (ANCOVA) – Unequal n’s
Kruskal-Wallis Tests (Simulation)
Kruskal-Wallis Tests (Simulation) – Unequal n’s
Terry-Hoeffding Normal-Scores Tests of Means (Simulation)
Terry-Hoeffding Normal-Scores Tests of Means (Simulation) – Unequal n’s
Van der Waerden Normal Quantiles Tests of Means (Simulation)
Van der Waerden Normal Quantiles Tests of Means (Simulation) – Unequal n’s
Pair-wise Multiple Comparisons (Simulation) – Tukey-Kramer
Pair-wise Multiple Comparisons (Simulation) – Tukey-Kramer – Unequal n’s
Pair-wise Multiple Comparisons (Simulation) – Kruskal-Wallis
Pair-wise Multiple Comparisons (Simulation) – Kruskal-Wallis – Unequal n’s
Pair-wise Multiple Comparisons (Simulation) – Games-Howell
Pair-wise Multiple Comparisons (Simulation) – Games-Howell – Unequal n’s
Multiple Comparisons of Treatments vs. a Control (Simulation) – Dunnett
Multiple Comparisons of Treatments vs. a Control (Simulation) – Dunnett – Unequal n’s
Multiple Comparisons of Treatments vs. a Control (Simulation) – Kruskal-Wallis
Multiple Comparisons of Treatments vs. a Control (Simulation) – Kruskal-Wallis – Unequal n’s
Multiple Comparisons – All Pairs – Tukey-Kramer
Multiple Comparisons – All Pairs – Tukey-Kramer – Unequal n’s
Multiple Comparisons – With Best – Hsu
Multiple Comparisons – With Best – Hsu – Unequal n’s
Multiple Comparisons – With Control – Dunnett
Multiple Comparisons – With Control – Dunnett – Unequal n’s
Multiple Contrasts (Simulation) – Dunn-Bonferroni
Multiple Contrasts (Simulation) – Dunn-Bonferroni – Unequal n’s
Multiple Contrasts (Simulation) – Dunn-Welch
Multiple Contrasts (Simulation) – Dunn-Welch – Unequal n’s
Williams Test for the Minimum Effective Dose
Factorial Analysis of Variance
Factorial Analysis of Variance using Effect Size
Randomized Block Analysis of Variance
Repeated Measures Analysis
Repeated Measures Analysis – Unequal n’s
One-Way Repeated Measures
One-Way Repeated Measures Contrasts
Confidence Intervals for One-Way Repeated Measures Contrasts
MANOVA
MANOVA – Unequal n’s
Mixed Models
Mixed Models – Unequal n’s
GEE Tests for the Slope of Multiple Groups in a Repeated Measures Design (Continuous Outcome)
GEE Tests for the TAD of Multiple Groups in a Repeated Measures Design (Continuous Outcome)
GEE Tests for Multiple Means in a Cluster-Randomized Design
Multi-Arm Tests of the Difference Between Treatment and Control Means Assuming Equal Variance
Multi-Arm, Non-Inferiority Tests of the Difference Between Treatment and Control Means Assuming Equal Variance
Multi-Arm, Superiority by a Margin Tests of the Difference Between Treatment and Control Means Assuming Equal Variance
Multi-Arm, Equivalence Tests of the Difference Between Treatment and Control Means Assuming Equal Variance
Multi-Arm Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variances
Multi-Arm, Non-Inferiority Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variances
Multi-Arm, Superiority by a Margin Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variance
Multi-Arm, Equivalence Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variance
Multi-Arm Tests of the Ratio of Treatment and Control Means Assuming Log-Normal Data
Multi-Arm, Non-Inferiority Tests of the Ratio of Treatment and Control Means Assuming Log-Normal Data
Multi-Arm, Superiority by a Margin Tests of the Ratio of Treatment and Control Means Assuming Log-Normal Data
Multi-Arm, Equivalence Tests of the Ratio of Treatment and Control Means Assuming Log-Normal Data
Multi-Arm Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances
Multi-Arm, Non-Inferiority Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances
Multi-Arm, Superiority by a Margin Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances
Multi-Arm, Equivalence Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances
Multi-Arm Tests for Treatment and Control Means in a Cluster-Randomized Design
Multi-Arm, Non-Inferiority Tests for Treatment and Control Means in a Cluster-Randomized Design

Mediation Effects

Tests of Mediation Effect using the Sobel Test
Tests of Mediation Effect in Linear Regression
Tests of Mediation Effect in Logistic Regression
Tests of Mediation Effect in Poisson Regression
Tests of Mediation Effect in Cox Regression
Joint Tests of Mediation in Linear Regression with Continuous Variables

Michaelis-Menten Parameters

Confidence Intervals for Michaelis-Menten Parameters
Confidence Intervals for Michaelis-Menten Parameters – Unequal n’s

Mixed Models

Mixed Models
Mixed Models – Unequal n’s
Mixed Models Tests for Two Means in a 2-Level Hierarchical Design (Level-2 Randomization)
Mixed Models Tests for Two Means in a 2-Level Hierarchical Design (Level-1 Randomization)
Mixed Models Tests for the Slope Difference in a 2-Level Hierarchical Design with Fixed Slopes
Mixed Models Tests for the Slope Difference in a 2-Level Hierarchical Design with Random Slopes
Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-3 Randomization)
Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-2 Randomization)
Mixed Models Tests for Two Means in a 3-Level Hierarchical Design (Level-1 Randomization)
Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Fixed Slopes (Level-2 Rand.)
Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Random Slopes (Level-2 Rand.)
Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Fixed Slopes (Level-3 Rand.)
Mixed Models Tests for the Slope Diff. in a 3-Level Hier. Design with Random Slopes (Level-3 Rand.)
Mixed Models Tests for Two Means at the End of Follow-Up in a 3-Level Hierarchical Design (Level-3 Randomization)
Mixed Models Tests for Two Means at the End of Follow-Up in a 2-Level Hierarchical Design
Mixed Models Tests for Two Means at the End of Follow-Up in a 3-Level Hierarchical Design (Level-3 Randomization)
Mixed Models Tests for Two Means at the End of Follow-Up in a 2-Level Hierarchical Design
Mixed Models Tests for Interaction in a 2×2 Factorial 2-Level Hierarchical Design (Level-2 Randomization)
Mixed Models Tests for Interaction in a 2×2 Factorial 2-Level Hierarchical Design (Level-1 Randomization)
Mixed Models Tests for Interaction in a 2×2 Factorial 3-Level Hierarchical Design (Level-3 Randomization)
Mixed Models Tests for Interaction in a 2×2 Factorial 3-Level Hierarchical Design (Level-2 Randomization)
Mixed Models Tests for Interaction in a 2×2 Factorial 3-Level Hierarchical Design (Level-1 Randomization)
Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 3-Level Hierarchical Design with Random Slopes (Level-3 Randomization)
Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 3-Level Hierarchical Design with Random Slopes (Level-2 Randomization)
Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 2-Level Hierarchical Design with Random Slopes (Level-2 Randomization)
Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 3-Level Hierarchical Design with Fixed Slopes (Level-3 Randomization)
Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 3-Level Hierarchical Design with Fixed Slopes (Level-2 Randomization)
Mixed Models Tests for Slope-Interaction in a 2×2 Factorial 2-Level Hierarchical Design with Fixed Slopes (Level-2 Randomization)
Mixed Models Tests for Two Means in a Cluster-Randomized Design

Non-Inferiority

Non-Inferiority Tests for One Mean
Non-Inferiority Tests for Two Means using Differences
Non-Inferiority Tests for Two Means using Differences – Unequal n’s
Non-Inferiority Tests for Two Means using Ratios
Non-Inferiority Tests for Two Means using Ratios – Unequal n’s
Non-Inferiority Tests for the Ratio of Two Poisson Rates
Non-Inferiority Tests for the Ratio of Two Poisson Rates – Unequal n’s
Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates
Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Means
Group-Sequential Non-Inferiority Tests for Two Means – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test
Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test – Unequal n’s
Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Differences
Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design using Ratios
Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Differences
Non-Inferiority Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
Non-Inferiority Tests for Two Means in a Cluster-Randomized Design
Non-Inferiority Tests for One Proportion – Exact
Non-Inferiority Tests for One Proportion – Z-Test using S(P0)
Non-Inferiority Tests for One Proportion – Z-Test using S(P0) with Continuity Correction
Non-Inferiority Tests for One Proportion – Z-Test using S(Phat)
Non-Inferiority Tests for One Proportion – Z-Test using S(Phat) with Continuity Correction
Non-Inferiority Tests for One Proportion using Differences
Non-Inferiority Tests for One Proportion using Ratios
Non-Inferiority Tests for One Proportion using Odds Ratios
Non-Inferiority Tests for Two Proportions – Z-Test (Pooled)
Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) – Unequal n’s
Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled)
Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) – Unequal n’s
Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction
Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction – Unequal n’s
Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction
Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
Non-Inferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning)
Non-Inferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
Non-Inferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
Non-Inferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Non-Inferiority Tests for Two Proportions – Likelihood Score (Gart & Nam)
Non-Inferiority Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
Non-Inferiority Tests for Two Proportions using Differences
Non-Inferiority Tests for Two Proportions using Ratios
Non-Inferiority Tests for Two Proportions using Odds Ratios
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
Group-Sequential Non-Inferiority Tests for Two Proportions using Differences (Simulation)
Group-Sequential Non-Inferiority Tests for Two Proportions using Ratios (Simulation)
Group-Sequential Non-Inferiority Tests for Two Proportions using Odds Ratios (Simulation)
Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation)
Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation)
Group-Sequential Non-Inferiority Tests for Two Means with Known Variances (Simulation) – Unequal n’s
Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation)
Group-Sequential Non-Inferiority T-Tests for Two Means (Simulation) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Unequal n’s
Non-Inferiority Tests for Two Correlated Proportions using Differences
Non-Inferiority Tests for Two Correlated Proportions using Ratios
Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Z-Test (Pooled)
Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Z-Test (Pooled) – Unequal n’s
Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Z-Test (Unpooled)
Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Z-Test (Unpooled) – Unequal n’s
Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Likelihood Score (Farrington & Manning)
Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design – Likelihood Score (Farrington & Manning) – Unequal n’s
Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design using Differences
Non-Inferiority Tests for Two Proportions in a Cluster-Randomized Design using Ratios
Non-Inferiority Tests for Two Survival Curves Using Cox’s Proportional Hazards Model
Non-Inferiority Tests for Two Survival Curves Using Cox’s Proportional Hazards Model – Unequal n’s
Non-Inferiority Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
Non-Inferiority Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
Non-Inferiority Logrank Tests
Non-Inferiority Logrank Tests – Unequal n’s
Non-Inferiority Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
Non-Inferiority Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
Non-Inferiority Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
Non-Inferiority Tests for the Generalized Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design
Non-Inferiority Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
Non-Inferiority Tests for Pairwise Mean Differences in a Williams Cross-Over Design
Conditional Power of Two-Sample T-Tests for Non-Inferiority
Conditional Power of Non-Inferiority Tests for the Difference Between Two Proportions
Conditional Power of Non-Inferiority Logrank Tests
Conditional Power of Non-Inferiority Tests for Two Means in a 2x2 Cross-Over Design
Conditional Power of One-Sample T-Tests for Non-Inferiority
Conditional Power of Paired T-Tests for Non-Inferiority
Conditional Power of Non-Inferiority Tests for One Proportion
Non-Inferiority Tests for Simple Linear Regression
Non-Inferiority Tests for the Ratio of Two Within-Subject Variances in a Parallel Design
Non-Inferiority Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design
Non-Inferiority Tests for the Difference of Two Within-Subject CV's in a Parallel Design
Non-Inferiority Tests for the Ratio of Two Variances
Non-Inferiority Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
Non-Inferiority Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
Non-Inferiority Tests for Two Total Variances in a Replicated Design
Non-Inferiority Tests for Two Total Variances in a 2×2 Cross-Over Design
Non-Inferiority Tests for Two Between Variances in a Replicated Design
One-Sample Z-Tests for Non-Inferiority
Wilcoxon Signed-Rank Tests for Non-Inferiority
Paired T-Tests for Non-Inferiority
Paired Z-Tests for Non-Inferiority
Paired Wilcoxon Signed-Rank Tests for Non-Inferiority
Two-Sample T-Tests for Non-Inferiority Allowing Unequal Variance
Two-Sample T-Tests for Non-Inferiority Assuming Equal Variance
Mann-Whitney U or Wilcoxon Rank-Sum Tests for Non-Inferiority
Multi-Arm, Non-Inferiority Tests of the Difference Between Treatment and Control Proportions
Multi-Arm, Non-Inferiority Tests of the Ratio of Treatment and Control Proportions
Multi-Arm, Non-Inferiority Tests of the Odds Ratio of Treatment and Control Proportions
Multi-Arm, Non-Inferiority Tests for Treatment and Control Proportions in a Cluster-Randomized Design
Multi-Arm, Non-Inferiority Tests of the Difference Between Treatment and Control Means Assuming Equal Variance
Multi-Arm, Non-Inferiority Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variances
Multi-Arm, Non-Inferiority Tests of the Ratio of Treatment and Control Means Assuming Log-Normal Data
Multi-Arm, Non-Inferiority Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances
Multi-Arm, Non-Inferiority Tests for Treatment and Control Means in a Cluster-Randomized Design
Multi-Arm, Non-Inferiority Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
Multi-Arm, Non-Inferiority Tests for Vaccine Efficacy Using the Ratio of Treatment and Control Proportions
Multi-Arm, Non-Inferiority Tests for Vaccine Efficacy Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model

Nonparametric

Spearman’s Rank Correlation Tests with Simulation
Kendall’s Tau-b Correlation Tests with Simulation
Power Comparison of Correlation Tests with Simulation
Tests for One Mean – (Simulation) – Wilcoxon Test
Tests for One Mean – (Simulation) – Sign Test
Tests for One Mean – (Simulation) – Bootstrap Test
Tests for Paired Means (Simulation) – Wilcoxon Test
Tests for Paired Means (Simulation) – Sign Test
Tests for Paired Means (Simulation) – Bootstrap Test
Mann-Whitney-Wilcoxon Tests (Simulation)
Mann-Whitney-Wilcoxon Tests (Simulation) – Unequal n’s
Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test
Equivalence Tests for Two Means (Simulation) – Mann-Whitney Test – Unequal n’s
Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test
Group-Sequential Tests for Two Means (Simulation) General Assumptions – Mann-Whitney Test – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test
Group-Sequential Non-Inferiority Tests for Two Means – Mann-Whitney Test – Unequal n’s
Power Comparison of Tests of Means in One-Way Designs (Simulation)
Power Comparison of Tests of Means in One-Way Designs (Simulation) – Unequal n’s
Kruskal-Wallis Tests (Simulation)
Kruskal-Wallis Tests (Simulation) – Unequal n’s
Terry-Hoeffding Normal-Scores Tests of Means (Simulation)
Terry-Hoeffding Normal-Scores Tests of Means (Simulation) – Unequal n’s
Van der Waerden Normal Quantiles Tests of Means (Simulation)
Van der Waerden Normal Quantiles Tests of Means (Simulation) – Unequal n’s
Pair-wise Multiple Comparisons (Simulation) – Kruskal-Wallis
Pair-wise Multiple Comparisons (Simulation) – Kruskal-Wallis – Unequal n’s
Multiple Comparisons of Treatments vs. a Control (Simulation) – Kruskal-Wallis
Multiple Comparisons of Treatments vs. a Control (Simulation) – Kruskal-Wallis – Unequal n’s
Nonparametric Reference Intervals for Non-Normal Data
Wilcoxon Signed-Rank Tests
Wilcoxon Signed-Rank Tests for Non-Inferiority
Wilcoxon Signed-Rank Tests for Superiority by a Margin
Paired Wilcoxon Signed-Rank Tests
Paired Wilcoxon Signed-Rank Tests for Non-Inferiority
Paired Wilcoxon Signed-Rank Tests for Superiority by a Margin
Mann-Whitney U or Wilcoxon Rank-Sum Tests
Mann-Whitney U or Wilcoxon Rank-Sum Tests for Non-Inferiority
Mann-Whitney U or Wilcoxon Rank-Sum Tests for Superiority by a Margin
Mann-Whitney U or Wilcoxon Rank-Sum Tests (Noether)
Stratified Wilcoxon-Mann-Whitney (van Elteren) Test

Non-Zero and Non-Unity Null Tests

Non-Zero Null Tests for Simple Linear Regression
Non-Zero Null Tests for Simple Linear Regression using R-Squared
Non-Unity Null Tests for the Ratio of Within-Subject Variances in a Parallel Design
Non-Unity Null Tests for the Ratio of Within-Subject Variances in a 2×2M Replicated Cross-Over Design
Non-Zero Null Tests for the Difference of Two Within-Subject CV's in a Parallel Design
Non-Unity Null Tests for the Ratio of Two Variances
Non-Unity Null Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
Non-Unity Null Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
Non-Unity Null Tests for Two Total Variances in a 2×2 Cross-Over Design
Non-Unity Null Tests for Two Total Variances in a Replicated Design
Non-Unity Null Tests for Two Between Variances in a Replicated Design

Normality Tests

Normality Tests (Simulation) – Anderson-Darling
Normality Tests (Simulation) – Kolmogorov-Smirnov
Normality Tests (Simulation) – Kurtosis
Normality Tests (Simulation) – Martinez-Iglewicz
Normality Tests (Simulation) – Omnibus
Normality Tests (Simulation) – Range
Normality Tests (Simulation) – Shapiro-Wilk
Normality Tests (Simulation) – Skewness
Normality Tests (Simulation) – Any Test

Pilot Studies

UCL of the Standard Deviation from a Pilot Study
Sample Size of a Pilot Study using the Upper Confidence Limit of the SD
Sample Size of a Pilot Study using the Non-Central t to Allow for Uncertainty in the SD
Required Sample Size to Detect a Problem in a Pilot Study
Pilot Study Sample Size Rules of Thumb

Proportions - One

Tests for One Proportion – Exact
Tests for One Proportion – Z-Test using S(P0)
Tests for One Proportion – Z-Test using S(P0) with Continuity Correction
Tests for One Proportion – Z-Test using S(Phat)
Tests for One Proportion – Z-Test using S(Phat) with Continuity Correction
Tests for One Proportion using Differences
Tests for One Proportion using Ratios
Tests for One Proportion using Odds Ratios
Tests for One Proportion using Effect Size
Tests for One Proportion to Demonstrate Conformance with a Reliability Standard
Tests for One Proportion to Demonstrate Conformance with a Reliability Standard with Fixed Adverse Events
Confidence Intervals for One Proportion – Exact (Clopper-Pearson)
Confidence Intervals for One Proportion – Score (Wilson)
Confidence Intervals for One Proportion – Score with Continuity Correction
Confidence Intervals for One Proportion – Simple Asymptotic
Confidence Intervals for One Proportion – Simple Asymptotic with Continuity Correction
Confidence Intervals for One Proportion from a Finite Population
Confidence Intervals for One Proportion in a Stratified Design
Confidence Intervals for One Proportion in a Cluster-Randomized Design
Confidence Intervals for One Proportion in a Stratified Cluster-Randomized Design
Non-Inferiority Tests for One Proportion – Exact
Non-Inferiority Tests for One Proportion – Z-Test using S(P0)
Non-Inferiority Tests for One Proportion – Z-Test using S(P0) with Continuity Correction
Non-Inferiority Tests for One Proportion – Z-Test using S(Phat)
Non-Inferiority Tests for One Proportion – Z-Test using S(Phat) with Continuity Correction
Non-Inferiority Tests for One Proportion using Differences
Non-Inferiority Tests for One Proportion using Ratios
Non-Inferiority Tests for One Proportion using Odds Ratios
Equivalence Tests for One Proportion – Exact Test
Equivalence Tests for One Proportion – Z Test using S(P0)
Equivalence Tests for One Proportion – Z Test using S(P0) with Continuity Correction
Equivalence Tests for One Proportion – Z Test using S(Phat)
Equivalence Tests for One Proportion – Z Test using S(Phat) with Continuity Correction
Equivalence Tests for One Proportion using Differences
Equivalence Tests for One Proportion using Ratios
Equivalence Tests for One Proportion using Odds Ratios
Superiority by a Margin Tests for One Proportion – Exact
Superiority by a Margin Tests for One Proportion – Z-Test using S(P0)
Superiority by a Margin Tests for One Proportion – Z-Test using S(P0) with Continuity Correction
Superiority by a Margin Tests for One Proportion – Z-Test using S(Phat)
Superiority by a Margin Tests for One Proportion – Z-Test using S(Phat) with Continuity Correction
Superiority by a Margin Tests for One Proportion using Differences
Superiority by a Margin Tests for One Proportion using Ratios
Superiority by a Margin Tests for One Proportion using Odds Ratios
Single-Stage Phase II Clinical Trials
Two-Stage Phase II Clinical Trials
Three-Stage Phase II Clinical Trials
Post-Marketing Surveillance – Cohort – No Background Incidence
Post-Marketing Surveillance – Cohort – Known Background Incidence
Post-Marketing Surveillance – Cohort – Unknown Background Incidence
Post-Marketing Surveillance – Matched Case-Control Study
Conditional Power of One Proportion Tests
Tests for One-Sample Sensitivity and Specificity
Confidence Intervals for One-Sample Sensitivity
Confidence Intervals for One-Sample Specificity
Confidence Intervals for One-Sample Sensitivity and Specificity
Group-Sequential Tests for One Proportion in a Fleming Design
Conditional Power of Non-Inferiority Tests for One Proportion
Conditional Power of Superiority by a Margin Tests for One Proportion
Two-Stage Designs for Tests of One Proportion (Simon)

Proportions - Two Independent

Tests for Two Proportions – Fisher’s Exact Test
Tests for Two Proportions – Fisher’s Exact Test – Unequal n’s
Tests for Two Proportions – Z-Test (Pooled)
Tests for Two Proportions – Z-Test (Pooled) – Unequal n’s
Tests for Two Proportions – Z-Test (Unpooled)
Tests for Two Proportions – Z-Test (Unpooled) – Unequal n’s
Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction
Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction – Unequal n’s
Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction
Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
Tests for Two Proportions – Mantel-Haenszel Test
Tests for Two Proportions – Mantel-Haenszel Test – Unequal n’s
Tests for Two Proportions – Likelihood Ratio Test
Tests for Two Proportions – Likelihood Ratio Test – Unequal n’s
Tests for Two Proportions using Differences
Tests for Two Proportions using Ratios
Tests for Two Proportions using Odds Ratios
Tests for Two Proportions using Effect Size
Tests for Two Proportions using Effect Size – Unequal n’s
Confidence Intervals for Two Proportions – Score (Farrington & Manning)
Confidence Intervals for Two Proportions – Score (Farrington & Manning) – Unequal n’s
Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen)
Confidence Intervals for Two Proportions – Score (Miettinen & Nurminen) – Unequal n’s
Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam)
Confidence Intervals for Two Proportions – Score with Skewness (Gart & Nam) – Unequal n’s
Confidence Intervals for Two Proportions – Score (Wilson)
Confidence Intervals for Two Proportions – Score (Wilson) – Unequal n’s
Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson)
Confidence Intervals for Two Proportions – Score with Continuity Correction (Wilson) – Unequal n’s
Confidence Intervals for Two Proportions – Chi-Square with Continuity Correction (Yates)
Confidence Intervals for Two Proportions – Chi-Square with Continuity Correction (Yates) – Unequal n’s
Confidence Intervals for Two Proportions – Chi-Square (Pearson)
Confidence Intervals for Two Proportions – Chi-Square (Pearson) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning)
Confidence Intervals for Two Proportions using Ratios – Score (Farrington & Manning) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen)
Confidence Intervals for Two Proportions using Ratios – Score (Miettinen & Nurminen) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam)
Confidence Intervals for Two Proportions using Ratios – Score with Skewness (Gart & Nam) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz)
Confidence Intervals for Two Proportions using Ratios – Logarithm (Katz) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter)
Confidence Intervals for Two Proportions using Ratios – Logarithm + ½ (Walter) – Unequal n’s
Confidence Intervals for Two Proportions using Ratios – Fleiss
Confidence Intervals for Two Proportions using Ratios – Fleiss – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional)
Confidence Intervals for Two Proportions using Odds Ratios – Exact (Conditional) – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning)
Confidence Intervals for Two Proportions using Odds Ratios – Score (Farrington & Manning) – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen)
Confidence Intervals for Two Proportions using Odds Ratios – Score (Miettinen & Nurminen) – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Fleiss
Confidence Intervals for Two Proportions using Odds Ratios – Fleiss – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Logarithm
Confidence Intervals for Two Proportions using Odds Ratios – Logarithm – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Mantel-Haenszel
Confidence Intervals for Two Proportions using Odds Ratios – Mantel-Haenszel – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Simple
Confidence Intervals for Two Proportions using Odds Ratios – Simple – Unequal n’s
Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2
Confidence Intervals for Two Proportions using Odds Ratios – Simple + 1/2 – Unequal n’s
Non-Inferiority Tests for Two Proportions – Z-Test (Pooled)
Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) – Unequal n’s
Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled)
Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) – Unequal n’s
Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction
Non-Inferiority Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction – Unequal n’s
Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction
Non-Inferiority Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
Non-Inferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning)
Non-Inferiority Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
Non-Inferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
Non-Inferiority Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Non-Inferiority Tests for Two Proportions – Likelihood Score (Gart & Nam)
Non-Inferiority Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
Non-Inferiority Tests for Two Proportions using Differences
Non-Inferiority Tests for Two Proportions using Ratios
Non-Inferiority Tests for Two Proportions using Odds Ratios
Equivalence Tests for Two Proportions – Z Test (Pooled)
Equivalence Tests for Two Proportions – Z Test (Pooled) – Unequal n’s
Equivalence Tests for Two Proportions – Z Test (Unpooled)
Equivalence Tests for Two Proportions – Z Test (Unpooled) – Unequal n’s
Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction
Equivalence Tests for Two Proportions – Z Test (Pooled) with Continuity Correction – Unequal n’s
Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction
Equivalence Tests for Two Proportions – Z Test (Unpooled) with Continuity Correction – Unequal n’s
Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning)
Equivalence Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
Equivalence Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam)
Equivalence Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
Equivalence Tests for Two Proportions using Differences
Equivalence Tests for Two Proportions using Ratios
Equivalence Tests for Two Proportions using Odds Ratios
Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled)
Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled)
Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction
Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction
Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning)
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam)
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
Superiority by a Margin Tests for Two Proportions using Differences
Superiority by a Margin Tests for Two Proportions using Ratios
Superiority by a Margin Tests for Two Proportions using Odds Ratios
Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Difference
Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Difference – Unequal n’s
Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Log(OR)
Tests for Two Proportions in a Repeated Measures Design using Odds Ratios – Log(OR) – Unequal n’s
Tests for Two Proportions in a Repeated Measures Design using Proportions
Group-Sequential Tests for Two Proportions
Group-Sequential Tests for Two Proportions – Unequal n’s
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled)
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled)
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction
Group-Sequential Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
Group-Sequential Tests for Two Proportions (Simulation) – Mantel-Haenszel
Group-Sequential Tests for Two Proportions (Simulation) – Mantel-Haenszel – Unequal n’s
Group-Sequential Tests for Two Proportions (Simulation) – Fisher’s Exact
Group-Sequential Tests for Two Proportions (Simulation) – Fisher’s Exact – Unequal n’s
Group-Sequential Tests for Two Proportions using Differences (Simulation)
Group-Sequential Tests for Two Proportions using Ratios (Simulation)
Group-Sequential Tests for Two Proportions using Odds Ratios (Simulation)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Proportions using Differences (Simulation)
Group-Sequential Non-Inferiority Tests for Two Proportions using Ratios (Simulation)
Group-Sequential Non-Inferiority Tests for Two Proportions using Odds Ratios (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions using Differences (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Proportions using Ratios (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Proportions using Odds Ratios (Simulation)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation)
Group-Sequential Non-Inferiority Tests for Two Proportions (Simulation) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Unequal n’s
Conditional Power of Two-Proportions Tests
Conditional Power of Two-Proportions Tests – Unequal n’s
Tests for Two Proportions in a Stratified Design (Cochran/Mantel-Haenzel Test)
Tests for Two Proportions in a Stratified Design (Cochran/Mantel-Haenzel Test) – Unequal n’s
Tests for Two Proportions in a Repeated Measures Design
Tests for Two Proportions in a Repeated Measures Design – Unequal n’s
Tests for Two Proportions in a Repeated Measures Design using Odds Ratios
Tests for Two Proportions in a Stepped-Wedge Cluster-Randomized Design - Complete Design
Tests for Two Proportions in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom)
Mixed Models Tests for Two Proportions in a 2-Level Hierarchical Design (Level-2 Randomization)
Mixed Models Tests for Two Proportions in a 2-Level Hierarchical Design (Level-1 Randomization)
Mixed Models Tests for Two Proportions in a 3-Level Hierarchical Design (Level-3 Randomization)
Mixed Models Tests for Two Proportions in a 3-Level Hierarchical Design (Level-2 Randomization)
Mixed Models Tests for Two Proportions in a 3-Level Hierarchical Design (Level-1 Randomization)
Group-Sequential Tests for Two Proportions (Simulation)
Conditional Power of Non-Inferiority Tests for the Difference Between Two Proportions
Conditional Power of Superiority by a Margin Tests for the Difference Between Two Proportions
Superiority by a Margin Tests for the Difference Between Two Proportions
Superiority by a Margin Tests for the Ratio of Two Proportions
Superiority by a Margin Tests for the Odds Ratio of Two Proportions
Superiority by a Margin Tests for the Difference of Two Proportions in a Cluster-Randomized Design
Superiority by a Margin Tests for the Ratio of Two Proportions in a Cluster-Randomized Design
Tests for Two Proportions in a Split-Mouth Design
Tests for Two Proportions in a Stratified Cluster-Randomized Design (Cochran-Mantel-Haenszel Test)

Proportions - Correlated or Paired

Tests for Two Correlated Proportions (McNemar's Test)
Tests for Two Correlated Proportions (McNemar's Test) using Odds Ratios
Tests for Two Correlated Proportions in a Matched Case-Control Design
Tests for the Odds Ratio in a Matched Case-Control Design with a Binary Covariate using Conditional Logistic Regression
Tests for the Odds Ratio in a Matched Case-Control Design with a Quantitative X using Conditional Logistic Regression
Tests for the Matched-Pair Difference of Two Proportions in a Cluster-Randomized Design
Non-Inferiority Tests for Two Correlated Proportions
Non-Inferiority Tests for Two Correlated Proportions using Ratios
Equivalence Tests for Two Correlated Proportions
Equivalence Tests for Two Correlated Proportions using Ratios
GEE Tests for the Slope of Two Groups in a Repeated Measures Design (Binary Outcome)
GEE Tests for the TAD of Two Groups in a Repeated Measures Design (Binary Outcome)
GEE Tests for Two Correlated Proportions with Dropout
Tests for Two Correlated Proportions with Incomplete Observations

Proportions - Cross-Over Designs

Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
Non-Inferiority Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
Superiority by a Margin Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
Equivalence Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
Non-Inferiority Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
Superiority by a Margin Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
Equivalence Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
Non-Inferiority Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
Superiority by a Margin Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
Equivalence Tests for Pairwise Proportion Differences in a Williams Cross-Over Design

Proportions - Many

Chi-Square Contingency Table Test
Chi-Square Multinomial Test
Cochran-Armitage Test for Trend in Proportions
Cochran-Armitage Test for Trend in Proportions – Unequal n’s
Multiple Comparisons of Proportions vs. Control
Multiple Comparisons of Proportions vs. Control – Unequal n’s
Logistic Regression
Tests for Two Ordered Categorical Variables
Tests for Two Ordered Categorical Variables – Unequal n’s
GEE Tests for the TAD of Multiple Groups in a Repeated Measures Design (Binary Outcome)
Tests for Multiple Correlated Proportions
GEE Tests for Multiple Proportions in a Cluster-Randomized Design
Tests for Multiple Proportions in a One-Way Design
Multi-Arm Tests for Treatment and Control Proportions
Multi-Arm, Non-Inferiority Tests of the Difference Between Treatment and Control Proportions
Multi-Arm, Superiority by a Margin Tests of the Difference Between Treatment and Control Proportions
Multi-Arm, Equivalence Tests of the Difference Between Treatment and Control Proportions
Multi-Arm, Non-Inferiority Tests of the Ratio of Treatment and Control Proportions
Multi-Arm, Superiority by a Margin Tests of the Ratio of Treatment and Control Proportions
Multi-Arm, Equivalence Tests of the Ratio of Treatment and Control Proportions
Multi-Arm, Non-Inferiority Tests of the Odds Ratio of Treatment and Control Proportions
Multi-Arm, Superiority by a Margin Tests of the Odds Ratio of Treatment and Control Proportions
Multi-Arm, Equivalence Tests of the Odds Ratio of Treatment and Control Proportions
Multi-Arm Tests for Treatment and Control Proportions in a Cluster-Randomized Design
Multi-Arm, Non-Inferiority Tests for Treatment and Control Proportions in a Cluster-Randomized Design
Multi-Arm, Non-Inferiority Tests for Vaccine Efficacy Using the Ratio of Treatment and Control Proportions
Multi-Arm, Superiority by a Margin Tests for Vaccine Efficacy Using the Ratio of Treatment and Control Proportions

Quality Control

Acceptance Sampling for Attributes
Operating Characteristic Curves for Acceptance Sampling for Attributes
Acceptance Sampling for Attributes with Zero Nonconformities
Acceptance Sampling for Attributes with Fixed Nonconformities
Quality Control Charts for Means – Shewhart (Xbar) (Simulation)
Quality Control Charts for Means – CUSUM (Simulation)
Quality Control Charts for Means – CUSUM + Shewhart (Simulation)
Quality Control Charts for Means – FIR CUSUM (Simulation)
Quality Control Charts for Means – FIR CUSUM + Shewhart (Simulation)
Quality Control Charts for Means – EWMA (Simulation)
Quality Control Charts for Means – EWMA + Shewhart (Simulation)
Quality Control Charts for Variability – R (Simulation)
Quality Control Charts for Variability – S (Simulation)
Quality Control Charts for Variability – S with Probability Limits (Simulation)
Confidence Intervals for Cp
Confidence Intervals for Cpk

Rates and Counts

Tests for the Difference Between Two Poisson Rates
Tests for the Difference Between Two Poisson Rates in a Cluster-Randomized Design
Tests for the Matched-Pair Difference of Two Event Rates in a Cluster-Randomized Design
Tests for the Ratio of Two Poisson Rates (Zhu)
Tests for the Ratio of Two Negative Binomial Rates
Poisson Means (Incidence Rates)
Post-Marketing Surveillance (Incidence Rates)
Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Complete Design
Tests for Two Poisson Rates in a Stepped-Wedge Cluster-Randomized Design - Incomplete Design (Custom)
Poisson Regression
Equivalence Tests for the Ratio of Two Poisson Rates
Equivalence Tests for the Ratio of Two Poisson Rates – Unequal n’s
Equivalence Tests for the Ratio of Two Negative Binomial Rates
Equivalence Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
Non-Inferiority Tests for the Ratio of Two Poisson Rates
Non-Inferiority Tests for the Ratio of Two Poisson Rates – Unequal n’s
Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates
Non-Inferiority Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
Superiority by a Margin Tests for the Ratio of Two Poisson Rates
Superiority by a Margin Tests for the Ratio of Two Poisson Rates – Unequal n’s
Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates
Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
GEE Tests for the Slope of Two Groups in a Repeated Measures Design (Count Outcome)
GEE GEE Tests for the Slope of Multiple Groups in a Repeated Measures Design (Count Outcome)
GEE Tests for the TAD of Two Groups in a Repeated Measures Design (Count Outcome)
GEE Tests for the TAD of Multiple Groups in a Repeated Measures Design (Count Outcome)
Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
Non-Inferiority Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
Superiority by a Margin Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
Equivalence Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
Tests of Mediation Effect in Poisson Regression
GEE Tests for Multiple Poisson Rates in a Cluster-Randomized Design
Tests for One Poisson Rate with No Background Incidence (Post-Marketing Surveillance)
Tests for One Poisson Rate with Known Background Incidence (Post-Marketing Surveillance)
Tests for Two Poisson Rates with Background Incidence Estimated by the Control (Post-Marketing Surveillance)
Tests for Two Poisson Rates in a Matched Case-Control Design (Post-Marketing Surveillance)
Tests for the Difference Between Two Poisson Rates in a Cluster-Randomized Design with Adjustment for Varying Cluster Sizes
Tests for Multiple Poisson Rates in a One-Way Design

Reference Intervals

Reference Intervals for Normal Data
Nonparametric Reference Intervals for Non-Normal Data

Regression

Linear Regression
Confidence Intervals for Linear Regression Slope
Tests for the Difference Between Two Linear Regression Slopes
Tests for the Difference Between Two Linear Regression Intercepts
Cox Regression
Logistic Regression
Logistic Regression with One Binary Covariate using the Wald Test
Logistic Regression with Two Binary Covariates using the Wald Test
Logistic Regression with Two Binary Covariates and an Interaction using the Wald Test
Confidence Intervals for the Odds Ratio in a Logistic Regression with Two Binary Covariates
Confidence Intervals for the Interaction Odds Ratio in a Logistic Regression with Two Binary Covariates
Tests for the Odds Ratio in a Matched Case-Control Design with a Binary X using Conditional Logistic Regression
Tests for the Odds Ratio in a Matched Case-Control Design with a Quantitative X using Conditional Logistic Regression
Multiple Regression
Multiple Regression using Effect Size
Poisson Regression
Probit Analysis - Probit
Probit Analysis – Logit
Confidence Intervals for Michaelis-Menten Parameters
Confidence Intervals for Michaelis-Menten Parameters – Unequal n’s
Reference Intervals for Clinical and Lab Medicine
Mendelian Randomization with a Binary Outcome
Mendelian Randomization with a Continuous Outcome
Tests for the Odds Ratio in a Matched Case-Control Design with a Binary Covariate using Conditional Logistic Regression
Tests for the Odds Ratio in a Matched Case-Control Design with a Quantitative X using Conditional Logistic Regression
Tests for the Odds Ratio in Logistic Regression with One Normal X (Wald Test)
Tests for the Odds Ratio in Logistic Regression with One Normal X and Other Xs (Wald Test)
Tests for the Odds Ratio in Logistic Regression with One Binary X and Other Xs (Wald Test)
Tests of Mediation Effect using the Sobel Test
Tests of Mediation Effect in Linear Regression
Tests of Mediation Effect in Logistic Regression
Tests of Mediation Effect in Poisson Regression
Tests of Mediation Effect in Cox Regression
Joint Tests of Mediation in Linear Regression with Continuous Variables
Simple Linear Regression
Non-Zero Null Tests for Simple Linear Regression
Non-Inferiority Tests for Simple Linear Regression
Superiority by a Margin Tests for Simple Linear Regression
Equivalence Tests for Simple Linear Regression
Simple Linear Regression using R-Squared
Non-Zero Null Tests for Simple Linear Regression using R-Squared
Deming Regression

ROC Curves

Tests for One ROC Curve – Discrete Data
Tests for One ROC Curve – Continuous Data
Tests for One ROC Curve – Continuous Data – Unequal n’s
Tests for Two ROC Curves – Discrete Data
Tests for Two ROC Curves – Discrete Data – Unequal n’s
Tests for Two ROC Curves – Continuous Data
Tests for Two ROC Curves – Continuous Data – Unequal n’s
Confidence Intervals for the Area Under an ROC Curve
Confidence Intervals for the Area Under an ROC Curve – Unequal n’s

Sensitivity and Specificity

Tests for One-Sample Sensitivity and Specificity
Tests for Paired Sensitivities
Tests for Two Independent Sensitivities – Fisher’s Exact Test
Tests for Two Independent Sensitivities – Fisher’s Exact Test – Unequal n’s
Tests for Two Independent Sensitivities – Z-Test (Pooled)
Tests for Two Independent Sensitivities – Z-Test (Pooled) – Unequal n’s
Tests for Two Independent Sensitivities – Z-Test (Unpooled)
Tests for Two Independent Sensitivities – Z-Test (Unpooled) – Unequal n’s
Tests for Two Independent Sensitivities – Z-Test (Pooled) with Continuity Correction
Tests for Two Independent Sensitivities – Z-Test (Pooled) with Continuity Correction – Unequal n’s
Tests for Two Independent Sensitivities – Z-Test (Unpooled) with Continuity Correction
Tests for Two Independent Sensitivities – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
Tests for Two Independent Sensitivities – Mantel-Haenszel Test
Tests for Two Independent Sensitivities – Mantel-Haenszel Test – Unequal n’s
Tests for Two Independent Sensitivities – Likelihood Ratio Test
Tests for Two Independent Sensitivities – Likelihood Ratio Test – Unequal n’s
Confidence Intervals for One-Sample Sensitivity
Confidence Intervals for One-Sample Specificity
Confidence Intervals for One-Sample Sensitivity and Specificity

Single-Case (AB)K Designs

Tests for the Difference Between Treatment and Control Means in Single-Case (AB)K Designs

Superiority by a Margin Tests

Superiority by a Margin Tests for One Mean
Superiority by a Margin Tests for Paired Means
Superiority by a Margin Tests for Two Means using Differences
Superiority by a Margin Tests for Two Means using Differences – Unequal n’s
Superiority by a Margin Tests for Two Means using Ratios
Superiority by a Margin Tests for Two Means using Ratios – Unequal n’s
Superiority by a Margin Tests for the Ratio of Two Poisson Rates
Superiority by a Margin Tests for the Ratio of Two Poisson Rates – Unequal n’s
Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates
Superiority by a Margin Tests for the Ratio of Two Negative Binomial Rates – Unequal n’s
Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Differences
Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design using Ratios
Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Differences
Superiority by a Margin Tests for Two Means in a Higher-Order Cross-Over Design using Ratios
Superiority by a Margin Tests for Two Means in a Cluster-Randomized Design
Superiority by a Margin Tests for One Proportion – Exact
Superiority by a Margin Tests for One Proportion – Z-Test using S(P0)
Superiority by a Margin Tests for One Proportion – Z-Test using S(P0) with Continuity Correction
Superiority by a Margin Tests for One Proportion – Z-Test using S(Phat)
Superiority by a Margin Tests for One Proportion – Z-Test using S(Phat) with Continuity Correction
Superiority by a Margin Tests for One Proportion using Differences
Superiority by a Margin Tests for One Proportion using Ratios
Superiority by a Margin Tests for One Proportion using Odds Ratios
Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled)
Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled)
Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction
Superiority by a Margin Tests for Two Proportions – Z-Test (Pooled) with Continuity Correction – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction
Superiority by a Margin Tests for Two Proportions – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning)
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Farrington & Manning) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen)
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam)
Superiority by a Margin Tests for Two Proportions – Likelihood Score (Gart & Nam) – Unequal n’s
Superiority Test of Two Proportions from a Cluster-Randomized Design – Z Test (Pooled)
Superiority Test of Two Proportions from a Cluster-Randomized Design – Z Test (Pooled) – Unequal n’s
Superiority Test of Two Proportions from a Cluster-Randomized Design – Z Test (Unpooled)
Superiority Test of Two Proportions from a Cluster-Randomized Design – Z Test (Unpooled) – Unequal n’s
Superiority Test of Two Proportions from a Cluster-Randomized Design – Likelihood Score Test
Superiority Test of Two Proportions from a Cluster-Randomized Design – Likelihood Score Test – Unequal n’s
Superiority by a Margin Tests for Two Proportions using Differences
Superiority by a Margin Tests for Two Proportions using Ratios
Superiority by a Margin Tests for Two Proportions using Odds Ratios
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Pooled) with Continuity Correction – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Z-Test (Unpooled) with Continuity Correction – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Farrington & Manning) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Miettinen & Nurminen) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Likelihood Score (Gart & Nam) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions using Differences (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Proportions using Ratios (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Proportions using Odds Ratios (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Means with Known Variances (Simulation) – Unequal n’s
Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation)
Group-Sequential Superiority by a Margin T-Tests for Two Means (Simulation) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Proportions (Simulation) – Unequal n’s
Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled)
Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled) – Unequal n’s
Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled)
Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Unpooled) – Unequal n’s
Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled)
Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design – Z Test (Pooled) – Unequal n’s
Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design using Proportions
Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design using Differences
Superiority by a Margin Tests for Two Proportions in a Cluster-Randomized Design using Ratios
Superiority by a Margin Tests for Two Survival Curves Using Cox’s Proportional Hazards Model
Superiority by a Margin Tests for Two Survival Curves Using Cox’s Proportional Hazards Model – Unequal n’s
Superiority by a Margin Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
Superiority by a Margin Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
Superiority by a Margin Tests for the Odds Ratio of Two Proportions in a 2x2 Cross-Over Design
Superiority by a Margin Tests for the Difference of Two Proportions in a 2x2 Cross-Over Design
Superiority by a Margin Tests for the Ratio of Two Poisson Rates in a 2x2 Cross-Over Design
Superiority by a Margin Tests for the Gen. Odds Ratio for Ordinal Data in a 2x2 Cross-Over Design
Superiority by a Margin Tests for Pairwise Proportion Differences in a Williams Cross-Over Design
Superiority by a Margin Tests for Pairwise Mean Differences in a Williams Cross-Over Design
Conditional Power of Two-Sample T-Tests for Superiority by a Margin
Conditional Power of Superiority by a Margin Tests for the Difference Between Two Proportions
Conditional Power of Superiority by a Margin Logrank Tests
Conditional Power of Superiority by a Margin Tests for Two Means in a 2x2 Cross-Over Design
Conditional Power of One-Sample T-Tests for Superiority by a Margin
Conditional Power of Paired T-Tests for Superiority by a Margin
Conditional Power of Superiority by a Margin Tests for One Proportion
Superiority by a Margin Tests for the Difference Between Two Proportions
Superiority by a Margin Tests for the Ratio of Two Proportions
Superiority by a Margin Tests for the Odds Ratio of Two Proportions
Superiority by a Margin Tests for the Difference of Two Proportions in a Cluster-Randomized Design
Superiority by a Margin Tests for the Ratio of Two Proportions in a Cluster-Randomized Design
Superiority by a Margin Tests for Simple Linear Regression
Superiority by a Margin Tests for the Ratio of Two Within-Subject Variances in a Parallel Design
Superiority by a Margin Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design
Superiority by a Margin Tests for the Difference of Two Within-Subject CV's in a Parallel Design
Superiority by a Margin Tests for the Ratio of Two Variances
Superiority by a Margin Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
Superiority by a Margin Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
Superiority by a Margin Tests for Two Total Variances in a Replicated Design
Superiority by a Margin Tests for Two Total Variances in a 2×2 Cross-Over Design
Superiority by a Margin Tests for Two Between Variances in a Replicated Design
One-Sample Z-Tests for Superiority by a Margin
Wilcoxon Signed-Rank Tests for Superiority by a Margin
Paired T-Tests for Superiority by a Margin
Paired Z-Tests for Superiority by a Margin
Paired Wilcoxon Signed-Rank Tests for Superiority by a Margin
Two-Sample T-Tests for Superiority by a Margin Assuming Equal Variance
Two-Sample T-Tests for Superiority by a Margin Allowing Unequal Variance
Mann-Whitney U or Wilcoxon Rank-Sum Tests for Superiority by a Margin
Multi-Arm, Superiority by a Margin Tests of the Difference Between Treatment and Control Proportions
Multi-Arm, Superiority by a Margin Tests of the Ratio of Treatment and Control Proportions
Multi-Arm, Superiority by a Margin Tests of the Odds Ratio of Treatment and Control Proportions
Multi-Arm, Superiority by a Margin Tests of the Difference Between Treatment and Control Means Assuming Equal Variance
Multi-Arm, Superiority by a Margin Tests of the Ratio of Treatment and Control Means Assuming Normal Data with Equal Variance
Multi-Arm, Superiority by a Margin Tests of the Ratio of Treatment and Control Means Assuming Log-Normal Data
Multi-Arm, Superiority by a Margin Tests of the Difference Between Treatment and Control Means Allowing Unequal Variances
Multi-Arm, Superiority by a Margin Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
Multi-Arm, Superiority by a Margin Tests for Vaccine Efficacy Using the Ratio of Treatment and Control Proportions
Multi-Arm, Superiority by a Margin Tests for Vaccine Efficacy Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model

Survival Analysis

One-Sample Logrank Tests
One-Sample Cure Model Tests
Logrank Tests (Input Hazard Rates)
Logrank Tests (Input Median Survival Times)
Logrank Tests (Input Proportion Surviving)
Logrank Tests (Input Mortality)
Logrank Tests for Two Survival Curves Using Cox’s Proportional Hazards Model
Logrank Tests – Unequal n’s
Two-Group Survival Comparison Tests (Simulation) – Logrank
Two-Group Survival Comparison Tests (Simulation) – Logrank – Unequal n’s
Two-Group Survival Comparison Tests (Simulation) – Gehan-Wilcoxon
Two-Group Survival Comparison Tests (Simulation) – Gehan-Wilcoxon – Unequal n’s
Two-Group Survival Comparison Tests (Simulation) – Tarone-Ware
Two-Group Survival Comparison Tests (Simulation) – Tarone-Ware – Unequal n’s
Two-Group Survival Comparison Tests (Simulation) – Peto-Peto
Two-Group Survival Comparison Tests (Simulation) – Peto-Peto – Unequal n’s
Two-Group Survival Comparison Tests (Simulation) – Modified Peto-Peto
Two-Group Survival Comparison Tests (Simulation) – Modified Peto-Peto – Unequal n’s
Two-Group Survival Comparison Tests (Simulation) – Fleming-Harrington Custom Parameters
Two-Group Survival Comparison Tests (Simulation) – Fleming-Harrington Custom Parameters – Unequal n’s
Logrank Tests in a Cluster-Randomized Design
Tests for Two Survival Curves using Cox’s Proportional Hazards Model
Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s
Tests for the Difference of Two Hazard Rates Assuming an Exponential Model
Tests for the Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
Logrank Tests Accounting for Competing Risks
Logrank Tests Accounting for Competing Risks – Unequal n’s
Non-Inferiority Logrank Tests
Non-Inferiority Logrank Tests – Unequal n’s
Non-Inferiority Tests for Two Survival Curves using Cox’s Proportional Hazards Model
Non-Inferiority Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s
Non-Inferiority Tests for Difference of Two Hazard Rates Assuming an Exponential Model
Non-Inferiority Tests for Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model
Equivalence Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s
Equivalence Tests for Difference of Two Hazard Rates Assuming an Exponential Model
Equivalence Tests for Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
Superiority by a Margin Tests for Two Survival Curves using Cox’s Proportional Hazards Model
Superiority by a Margin Tests for Two Survival Curves using Cox’s Proportional Hazards Model – Unequal n’s
Superiority by a Margin Tests for Difference of Two Hazard Rates Assuming an Exponential Model
Superiority by a Margin Tests for Difference of Two Hazard Rates Assuming an Exponential Model – Unequal n’s
Group-Sequential Logrank Tests of Two Survival Curves assuming Exponential Survival
Group-Sequential Logrank Tests of Two Survival Curves assuming Proportional Hazards
Group-Sequential Logrank Tests using Hazard Rates (Simulation)
Group-Sequential Logrank Tests using Median Survival Times (Simulation)
Group-Sequential Logrank Tests using Proportion Surviving (Simulation)
Group-Sequential Logrank Tests using Mortality (Simulation)
Group-Sequential Logrank Tests (Simulation) – Unequal n’s
Group-Sequential Logrank Tests (Simulation) – Gehan-Wilcoxon
Group-Sequential Logrank Tests (Simulation) – Gehan-Wilcoxon – Unequal n’s
Group-Sequential Logrank Tests (Simulation) – Tarone-Ware
Group-Sequential Logrank Tests (Simulation) – Tarone-Ware – Unequal n’s
Group-Sequential Logrank Tests (Simulation) – Peto-Peto
Group-Sequential Logrank Tests (Simulation) – Peto-Peto – Unequal n’s
Group-Sequential Logrank Tests (Simulation) – Modified Peto-Peto
Group-Sequential Logrank Tests (Simulation) – Modified Peto-Peto – Unequal n’s
Group-Sequential Logrank Tests (Simulation) – Fleming-Harrington Custom Parameters
Group-Sequential Logrank Tests (Simulation) – Fleming-Harrington Custom Parameters – Unequal n’s
Group-Sequential Tests for Two Hazard Rates (Simulation)
Group-Sequential Tests for Two Hazard Rates (Simulation) – Unequal n’s
Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation)
Group-Sequential Non-Inferiority Tests for Two Hazard Rates (Simulation) – Unequal n’s
Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation)
Group-Sequential Superiority by a Margin Tests for Two Hazard Rates (Simulation) – Unequal n’s
Conditional Power of Logrank Tests
Cox Regression
Tests for One Exponential Mean with Replacement
Tests for One Exponential Mean without Replacement
Tests for Two Exponential Means
Tests for Two Exponential Means – Unequal n’s
Confidence Intervals for the Exponential Lifetime Mean
Confidence Intervals for the Exponential Hazard Rate
Confidence Intervals for an Exponential Lifetime Percentile
Confidence Intervals for Exponential Reliability
Probit Analysis - Probit
Probit Analysis – Logit
Logrank Tests – Freedman
Logrank Tests – Freedman – Unequal n’s
Logrank Tests – Lachin and Foulkes
Logrank Tests – Lachin and Foulkes – Unequal n’s
Conditional Power of Non-Inferiority Logrank Tests
Conditional Power of Superiority by a Margin Logrank Tests
Tests of Mediation Effect in Cox Regression
One-Sample Tests for Exponential Hazard Rate
Multi-Arm Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
Multi-Arm, Non-Inferiority Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
Multi-Arm, Superiority by a Margin Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
Multi-Arm, Equivalence Tests Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
Multi-Arm, Non-Inferiority Tests for Vaccine Efficacy Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model
Multi-Arm, Superiority by a Margin Tests for Vaccine Efficacy Comparing Treatment and Control Survival Curves Using the Cox's Proportional Hazards Model

Tolerance Intervals

Tolerance Intervals for Normal Data
Tolerance Intervals for Any Data (Nonparametric)
Tolerance Intervals for Exponential Data
Tolerance Intervals for Gamma Data
Tests for One Proportion to Demonstrate Conformance with a Reliability Standard
Tests for One Proportion to Demonstrate Conformance with a Reliability Standard with Fixed Adverse Events

Two-Part Models

Tests for Two Groups Assuming a Two-Part Model
Tests for Two Groups Assuming a Two-Part Model with Detection Limits

Variances and Standard Deviations

Tests for One Variance
Tests for Two Variances
Tests for Two Variances – Unequal n’s
Bartlett Test of Variances (Simulation)
Bartlett Test of Variances (Simulation) – Unequal n’s
Levene Test of Variances (Simulation)
Levene Test of Variances (Simulation) – Unequal n’s
Brown-Forsythe Test of Variances (Simulation)
Brown-Forsythe Test of Variances (Simulation) – Unequal n’s
Conover Test of Variances (Simulation)
Conover Test of Variances (Simulation) – Unequal n’s
Power Comparison of Tests of Variances with Simulation
Power Comparison of Tests of Variances with Simulation – Unequal n’s
Confidence Intervals for One Standard Deviation using Standard Deviation
Confidence Intervals for One Standard Deviation using Relative Error
Confidence Intervals for One Standard Deviation with Tolerance Probability – Known Standard Deviation
Confidence Intervals for One Standard Deviation with Tolerance Probability – Sample Standard Deviation
Confidence Intervals for One Variance using Variance
Confidence Intervals for One Variance using Relative Error
Confidence Intervals for One Variance with Tolerance Probability – Known Variance
Confidence Intervals for One Variance with Tolerance Probability – Sample Variance
Confidence Intervals for the Ratio of Two Variances using Variances
Confidence Intervals for the Ratio of Two Variances using Variances – Unequal n’s
Confidence Intervals for the Ratio of Two Variances using Relative Error
Confidence Intervals for the Ratio of Two Variances using Relative Error – Unequal n’s
Quality Control Charts for Variability – R (Simulation)
Quality Control Charts for Variability – S (Simulation)
Quality Control Charts for Variability – S with Probability Limits (Simulation)
Equivalence Tests for the Ratio of Two Within-Subject Variances in a Parallel Design
Non-Inferiority Tests for the Ratio of Two Within-Subject Variances in a Parallel Design
Superiority by a Margin Tests for the Ratio of Two Within-Subject Variances in a Parallel Design
Tests for the Ratio of Two Within-Subject Variances in a Parallel Design
Non-Unity Null Tests for the Ratio of Within-Subject Variances in a Parallel Design
Equivalence Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design
Non-Inferiority Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design
Superiority by a Margin Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design
Tests for the Ratio of Two Within-Subject Variances in a 2×2M Replicated Cross-Over Design
Non-Unity Null Tests for the Ratio of Within-Subject Variances in a 2×2M Replicated Cross-Over Design
Tests for the Ratio of Two Variances
Non-Unity Null Tests for the Ratio of Two Variances
Non-Inferiority Tests for the Ratio of Two Variances
Superiority by a Margin Tests for the Ratio of Two Variances
Equivalence Tests for the Ratio of Two Variances
Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
Non-Unity Null Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
Non-Inferiority Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
Superiority by a Margin Tests for Two Between-Subject Variances in a 2×2M Replicated Cross-Over Design
Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
Non-Unity Null Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
Non-Inferiority Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
Superiority by a Margin Tests for Two Total Variances in a 2×2M Replicated Cross-Over Design
Tests for Two Total Variances in a Replicated Design
Non-Unity Null Tests for Two Total Variances in a Replicated Design
Non-Inferiority Tests for Two Total Variances in a Replicated Design
Superiority by a Margin Tests for Two Total Variances in a Replicated Design
Tests for Two Total Variances in a 2×2 Cross-Over Design
Non-Unity Null Tests for Two Total Variances in a 2×2 Cross-Over Design
Non-Inferiority Tests for Two Total Variances in a 2×2 Cross-Over Design
Superiority by a Margin Tests for Two Total Variances in a 2×2 Cross-Over Design
Tests for Two Between Variances in a Replicated Design
Non-Unity Null Tests for Two Between Variances in a Replicated Design
Non-Inferiority Tests for Two Between Variances in a Replicated Design
Superiority by a Margin Tests for Two Between Variances in a Replicated Design
Tests for the Difference of Two Within-Subject CV's in a Parallel Design
Non-Zero Null Tests for the Difference of Two Within-Subject CV's in a Parallel Design
Non-Inferiority Tests for the Difference of Two Within-Subject CV's in a Parallel Design
Superiority by a Margin Tests for the Difference of Two Within-Subject CV's in a Parallel Design
Equivalence Tests for the Difference of Two Within-Subject CV's in a Parallel Design

Win-Ratio Composite Endpoint

Tests Comparing Two Groups Using the Win-Ratio Composite Endpoint
Tests for Two Groups using the Win-Ratio Composite Endpoint in a Stratified Design

Bayesian Adjustment

Bayesian Adjustment using the Posterior Error Approach

Tools

Installation Validation Tool for Installation Qualification (IQ)
Procedure Validation Tool for Operational Qualification (OQ)
Chi-Square Effect-Size Estimator
Multinomial Effect-Size Estimator
Odds Ratio to Proportions Converter
Probability Calculator (Various Distributions)
Standard Deviation Estimator
Survival Parameter Conversion Tool
Standard Deviation of Means Calculator
Data Simulator

Design of Experiments (Non-Sample Size Tools)

这些工具用于生成设计，而不是用于估计或分析样本量。
Balanced Incomplete Block Designs
D-Optimal Designs
Design Generator
Fractional Factorial Designs
Latin Square Designs
Response Surface Designs
Screening Designs
Taguchi Designs
Two-Level Designs
Randomization Lists