nQuery has 1000+ validated statistical procedures covering Adaptive, Bayesian and classical clinical trial designs.

Start optimizing your clinical trial design. Browse our list below to see what tables you get in nQuery.

**Survival - One - Test**One Sample Log-Rank Test assuming Exponential Curve with Accrual and Dropout

One Sample Log-Rank Test with Accrual

One Sample Test using Cure Model with Accrual

Survival - One - Test

One Sample Survival (Exact)

Tests for One Exponential Mean using Fixed-Failure Sampling Plans with Fixed Sample Size

Tests for One Exponential Mean using Fixed Time Sampling Plans with Lifetime as Test Statistic

Tests for One Exponential Mean using Fixed-Failure Sampling Plans with Fixed Study Duration

Tests for One Exponential Mean using Fixed Time Sampling Plans with Failures as Test Statistic

**Survival - One - Confidence Interval**Confidence Interval for Exponential Lifetime Percentile

Confidence Interval for Exponential Mean Lifetime

Confidence Interval for Exponential Parameter

Confidence Interval for Proportion Surviving under Exponential Model

Confidence Interval for Median Survival

**Survival - Two - Test**Bayesian Assurance for Two Survival Curves with Inverse Gamma Prior for λ₁

Bayesian Assurance for Two Survival Curves with Inverse Gamma Prior for λ₂

Bayesian Assurance for Two Survival Curves with Log-Normal Prior for HR

Bayesian Assurance for Two Survival Curves with Normal Prior for log(HR)

Group Sequential Two Sample Log-Rank Test

Rank Tests for Two Survival Curves

Two Sample Log-Rank Test

Two Sample Log-Rank Test for Competing Risks

Two Sample Log-Rank Test of Exponential Survival

Two Sample Log-Rank Test of Exponential Survival with Exponential Dropout

Two Sample Log-Rank Test with Specified Rates and Unequal n's using Simulation

Two Sample Log-Rank Test with Specified Rates using Simulation

Two Sample Test of Survival Curves using Cox Regression

Log-Rank Test, User-Specified Accrual Rates, Piecewise Survival and Dropout Rates

Survival with non-uniform accrual

Delayed Effect Survival Model (APPLE)

Two Sample Log-Rank Test Assuming Constant Accrual, Exponential Rates, Dropouts

Generalised Piecewise Weighted Log-rank Test with Random Treatment Time Lag Effect Survival Model (APPLE+ Method)

Interaction Test for Exponential Survival in a 2x2 Design

Two-Sample Log-Rank Test of Exponential Survival with Stratification

Two Sample Test for Two Survival Curves using Relative Time

Maximum Combination (MaxCombo) Linear Rank Tests using Piecewise Survival

Linear Contrast Test For Time-To-Event Endpoint

Survival Omnibus Test

**Survival - Two - Confidence Interval**Confidence Interval for Hazard Ratio assuming Exponential Curve

**Survival - Two - Equivalence**Equivalence Test for Two Survival Curves using Cox Regression

Equivalence Test for Two Survival Curves using Log-Rank Test

Non-Inferiority Test for Two Exponential Survival Curves

Non-Inferiority Test for Two Survival Curves using Cox Regression

Non-inferiority Testing using the Log-Rank Test

**Survival > Two - Equivalence**Non-Inferiority Test for Exponential Survival in a Three Armed Trial

Survival - Two - Non-inferiority

**Mixed Models Test**Mixed Models Test for Two Means in a 2-Level Hierarchical Design (Cluster Randomization)

**Means - One - Test**Bayesian Assurance for One Sample Test with Normal Mean Prior

Bayesian Assurance for One Sample Test with Uniform Mean Prior

N-of-1 Trials

One-Way Repeated Measures Analysis of Variance (ANOVA)

One-Way Repeated Measures Analysis of Variance (ANOVA) with Greenhouse-Geisser Correction

One-Way Repeated Measures Contrast

Paired t-test for Difference in Means

Paired t-test for Difference in Means with Finite Population

Pooled Standard Deviation from s1 and s2

Residual Standard Deviation for Linear Regression Coefficient

Standard Deviation for Cluster Sampling

Standard Deviation from Coefficient of Variation assuming Log-Normality

Standard Deviation from Range assuming Normality

Standard Deviation from Sample Percentiles

Standard Deviation from Standard Error

Standard Deviation of Differences from SD1, SD2, and Correlation

t-test for One Log-Normal Mean

t-test for One Mean

t-test for One Mean with Finite Population

t-test for Ratio of Paired Log-Normal Means

Test for One Poisson Mean Rate

Test for One Variance

Upper Limit for Standard Deviation from Confidence Interval

Wilcoxon Signed-Rank Test

Z-test for Difference in Paired Means

Z-test for One Mean

Bayesian Factor for One Mean *(Only available in PLUS)

**Means - One - Confidence Intervals**Confidence Interval for Difference in Paired Means using Normal Distribution

Confidence Interval for Difference in Paired Means with Coverage Probability and Finite Population Adjustment using t-Distribution

Confidence Interval for Difference in Paired Means with Coverage Probability using t-Distribution

Confidence Interval for Difference in Paired Means with Finite Population Adjustment using Normal Distribution

Confidence Interval for One Mean using Normal Distribution

Confidence Interval for One Mean with Coverage Probability and Finite Population Adjustment using t-Distribution

Confidence Interval for One Mean with Coverage Probability using t-Distribution

Confidence Interval for One Mean with Finite Population Adjustment using Normal Distribution

Confidence Interval for One Standard Deviation using Relative Error

Confidence Interval for One Standard Deviation using Standard Deviation

Confidence Interval for One Standard Deviation using Tolerance Probability

Confidence Interval for One Variance using Relative Error

Confidence Interval for One Variance using Tolerance Probability

Confidence Interval for One Variance using Variance

Confidence Interval for One-Way Repeated Measures Contrast

Confidence Interval for Percentile of a Normal Distribution

Confidence Intervals for Cp

Confidence Intervals for Cpk

Equivalence t-test for One Log-Normal Mean

Equivalence t-test for One Mean

Equivalence t-test for Paired Means

Equivalence t-test for Ratio of Paired Log-Normal Means

Means - One - Equivalence

Non-Inferiority t-test for One Log-Normal Mean

Non-Inferiority t-test for One Mean

Non-Inferiority t-test for Paired Means

Non-Inferiority t-test for Ratio of Paired Log-Normal Means

One Sample Bayesian Credible Interval with Known Precision

One Sample Bayesian Credible Interval with Unknown Precision

One Sample Mixed Bayesian Credible Interval with Unknown Precision

Prediction Interval for Future Observations

Prediction Interval for One Mean

Prediction Interval for One Standard Deviation

Reference Intervals for Clinical and Lab Medicine

Tolerance Intervals for Exponential Data

Tolerance Intervals for Gamma Data

Tolerance Intervals for Normal Data

Bayesian Consensus-Based Sample Size for One Normal Mean (Bayes module)

**Means - Two Test**Bayesian Assurance for Mean Difference with Common Variance and Prior for δ and σ using Simulation

Bayesian Assurance for Mean Difference with Uncommon Variance and Prior for δ and each σ using Simulation

Bayesian Assurance for Two Normal Means

Bayesian Assurance for Two Normal Means with Uniform Prior for Difference

Bayesian Assurance for Two Normal Means with Uniform Prior for Difference

Confidence Interval for Difference in Two Means

Confidence Interval for Difference in Two Means with Coverage Probability

Confidence Interval for Difference in Two Means with Coverage Probability and Unequal n's

Confidence Interval for Difference in Two Means with Unequal n's

Confidence Interval for the Ratio of Two Variances using Relative Error

Confidence Interval for the Ratio of Two Variances using Variances

F-Test for the Ratio of Two Variances

Group Sequential Test of Two Means

Inequality Test for the Ratio of Two Negative Binomial Rates - Unequal Follow-Up, Dispersion

Inequality Tests for the Ratio of Two Incidence Rates using Andersen-Gill Model

MCP-Mod

Multiple Comparisons Procedure - Modelling for Continuous Outcome (Unequal Variance)* (Only available in Pro)

Mendelian Randomization with Continuous Outcome

Mixed Models Test for the Slope Difference in a 2-Level Hierarchical Design with Fixed Slopes

Mixed Models Test for the Slope Difference in a 2-Level Hierarchical Design with Random Slopes

Mixed Models Test for the Slope Difference in a 3-Level Hierarchical Design with Fixed Slopes (Level 3 Randomization)

Mixed Models Test for the Slope Difference in a 3-Level Hierarchical Design with Fixed Slopes (Level-2 Rand.)

Mixed Models Test for the Slope Difference in a 3-Level Hierarchical Design with Random Slopes (Level 3 Randomization)

Mixed Models Test for the Slope Difference in a 3-Level Hierarchical Design with Random Slopes (Level-2 Rand.)

Mixed Models Test for Two Means in a 2-Level Hierarchical Design (Subject Randomization)

Mixed Models Test for Two Means in a 3-Level Hierarchical Design (Level 1 Randomization)

Mixed Models Test for Two Means in a 3-Level Hierarchical Design (Level 2 Randomization)

Mixed Models Test for Two Means in a 3-Level Hierarchical Design (Level 3 Randomization)

Repeated Measures for Two Means

Satterthwaite t-test for Two Means with Unequal Variances

Satterthwaite t-test for Two Means with Unequal Variances and Unequal n's

t-test for Difference in Means in 2x2 Crossover Design using ANOVA

t-test for Fold Change of Two Log-Normal Means

t-test for Fold Change of Two Log-Normal Means with Unequal n's

t-test for Fold Change with Fold Change Threshold

t-test for Fold Change with Fold Change Threshold and Unequal n's

t-test for Two Means

t-test for Two Means with Unequal n's

Test for Pairwise Mean Differences in a Williams Crossover Design

Test for Ratio of Two Exponential Mean Lifetimes

Test for Ratio of Two Incidence Rates using Negative Binomial Model

Test for Ratio of Two Incidence Rates using Normal Approximation

Test for Ratio of Two Incidence Rates using Poisson Model

Test for Two Means in a Multicenter Randomized Design

Two Group Comparison using Gamma Regression Model

Two Sample Bayesian Credible Interval with Known and Common Precision

Two Sample Bayesian Credible Interval with Unknown and Common Precision

Two Sample Bayesian Credible Interval with Unknown and Uncommon Precision

Two Sample Mixed Bayesian Credible Interval with Unknown and Common Precision

Two Sample Mixed Bayesian Credible Interval with Unknown and Uncommon Precision

Two Sample Repeated Measures ANOVA with Greenhouse-Geisser Correction

Wilcoxon (Mann-Whitney) Rank-Sum Test for Continuous Outcome

Wilcoxon (Mann-Whitney) Rank-Sum Test for Ordered Categories

Wilcoxon (Mann-Whitney) Rank-Sum Test for Ordered Categories and Unequal n's

Z-test for Two Means

**Means > Two - Equivalence**Non-Inferiority Test for Means in a Three Armed Trial with Common Variance

Non-Inferiority Test for Means in a Three Armed Trial with Uncommon Variance

Non-Inferiority Test for Poisson Rates in a Three Armed Trial

Non-Inferiority Test for Non-Parametric Distribution in a Three Armed Trial

**Means - Two Test - Equivalence**Equivalence Bayesian Assurance for Two Normal Means

Equivalence for the Ratio of Two Negative Binomial Rates with Unequal Follow-Up

Equivalence Higher-Order Crossover Design for Two Means using Differences

Equivalence Higher-Order Crossover Design for Two Means using Ratios

Equivalence t-test for Ratio of Two Negative Binomial Rates

Equivalence t-test for Ratio of Two Poisson Rates

Equivalence Test for Pairwise Mean Differences in a Williams Crossover Design

Equivalence Tests for the Ratio of Two Incidence Rates using Andersen-Gill Model

Non-Inferiority Bayesian Assurance for Two Normal Means

Non-Inferiority Bayesian Assurance for Two Normal Means with Uniform Prior for Difference

Non-Inferiority for the Ratio of Two Negative Binomial Rates with Unequal Follow-Up & Dispersion

Non-Inferiority Higher-Order Crossover Design for Two Means using Differences

Non-Inferiority Higher-Order Crossover Design for Two Means using Ratios

Non-Inferiority t-test for Crossover Design

Non-Inferiority t-test for Ratio of Log-Normal Means for Crossover Design

Non-Inferiority t-test for Ratio of Log-Normal Means for Two-Group Design

Non-Inferiority t-test for Ratio of Normal Means for Crossover Design

Non-Inferiority t-test for Ratio of Normal Means for Two-Group Design

Non-Inferiority t-test for Ratio of Two Negative Binomial Rates

Non-Inferiority t-test for Ratio of Two Poisson Rates

Non-Inferiority t-test for Two Means

Non-Inferiority t-test for Two Means with Unequal n's

Non-Inferiority Test for Pairwise Mean Differences in a Williams Crossover Design

Non-Inferiority Tests for the Ratio of Two Incidence Rates using Andersen-Gill Model

Superiority by a Margin Higher-Order Crossover Design for Two Means using Differences

Superiority by a Margin Higher-Order Crossover Design for Two Means using Ratios

Superiority by a Margin Test for Pairwise Mean Differences in a Williams Crossover Design

Two One-Sided Equivalence Tests for Crossover Design

Two One-Sided Equivalence Tests for Ratio of Two Log-Normal Means

Two One-Sided Equivalence Tests for Ratio of Two Log-Normal Means for Crossover Design

Two One-Sided Equivalence Tests for Ratio of Two Normal Means

Two One-Sided Equivalence Tests for Ratio of Two Normal Means for Crossover Design

Two One-Sided Equivalence Tests for Two Group Design

Group Sequential Test for Non-inferiority of Mean Difference* (Only available in PRO)

**Means > Two Test**Analysis of Covariance (ANCOVA)

Multivariate Analysis of Variance (MANOVA)

One-Way Analysis of Variance (ANOVA)

One-Way Analysis of Variance (ANOVA) with Unequal n's

Single One-Way Contrast between Means

Single One-Way Contrast between Means with Unequal n's

Two-Way Analysis of Variance (ANOVA)

Generalized MCP-Mod for Negative Binomial Rates* (Only available in PRO)

Multi-Arm Multi-Stage design for Means Endpoint (MAMS)* (Only available in PRO)

Generalized MCP-Mod for Poisson Rates

**Means > Two Confidence Interval**Confidence Interval for Contrast between Means

Confidence Interval for Contrast between Means with Coverage Probability

Confidence Interval for Contrast between Means with Unequal n's

Confidence Interval for Contrast between Means with Unequal n's and Coverage Probability

**Assurance**Assurance for Equivalence Trial Comparing Two Means

Assurance for Non-inferiority Trial Comparing Normal Means

Assurance for Superiority Trial Comparing Two Means

Bayesian Assurance for Mean Difference with Common Variance - Prior for δ and σ² (Simulation)

Bayesian Assurance for Mean Difference with Custom Prior

Bayesian Assurance for Mean Difference with Uncommon Variance - Prior for δ and each σ² (Simulation)

Bayesian Assurance for One Group Test - Uniform Prior

Bayesian Assurance for One Group Test of Normal Mean

Bayesian Assurance for One Mean with Custom Prior

Bayesian Assurance for One Proportion with Custom Prior

Bayesian Assurance for One Proportion with Uniform Prior

Bayesian Assurance for Two Group Non-Inferiority Test of Normal Means - Uniform Prior

Bayesian Assurance for Two Group Non-Inferiority Test of Normal Means - Uniform Prior

Bayesian Assurance for Two Group Test of Survival Curves - Inverse Gamma Prior for λc

Bayesian Assurance for Two Group Test of Survival Curves - Inverse Gamma Prior for λt

Bayesian Assurance for Two Group Test of Survival Curves - Lognormal Prior for HR

Bayesian Assurance for Two Group Test of Survival Curves - Normal Prior for log (HR)

Bayesian Assurance for Two Proportions - Beta prior for P1

Bayesian Assurance for Two Proportions - Beta prior for P1 and P2

Bayesian Assurance for Two Proportions - Beta prior for P2

Bayesian Assurance for Two Proportions with Custom Prior for π₁

Bayesian Assurance for Two Proportions with Uniform Prior for π₁

Bayesian Assurance for Two Survival Curves with Custom Prior for Log(HR)

Bayesian Assurance for Two Survival Curves with Inverse Gamma Prior for λ₁

Bayesian Assurance for Two Survival Curves with Inverse Gamma Prior for λ₂

Bayesian Assurance for Two Survival Curves with Inverse Gamma Priors for λ₁ and λ₂

Bayesian Assurance for Two Survival Curves with Inverse Gamma Priors for λ₁ and λ₂ - STT18

Bayesian Assurance for Two Survival Curves with Log-Normal Prior for HR

Bayesian Assurance for Two Survival Curves with Normal Prior for log(HR)

Bayesian Assurance for Two Survival Curves with Uniform Prior for Log(HR)

Non-Inferiority Bayesian Assurance for Two Proportions with Beta Prior for π₁

Non-Inferiority Bayesian Assurance for Two Proportions with Uniform Prior for π₁

Non-Inferiority Bayesian Assurance for Two Survival Curves with Normal Prior for Log(HR)

Non-Inferiority Bayesian Assurance for Two Survival Curves with Uniform Prior for Log(HR)

Superiority Assurance for one Proportion

**Credible IntervalsBayesian Credible HPD Interval for One ProportionDifference in Two Proportions - MixedDifference in Two Proportions - Unknown PrecisionMixed Bayes/Likelihood for Two Means Equal VarianceMixed Bayesian/Likelihood HPD Interval for One ProportionOne Sample Bayesian Credible Interval for Parameter with Known PrecisionOne Sample Bayesian Credible Interval for Parameter with Unknown PrecisionTwo Sample Bayesian Credible Interval for Parameter with Known PrecisionTwo Sample Bayesian Credible Interval for Parameter with Unknown PrecisionUnequal Variance Means - Known PrecisionUnequal Variance Means - MixedBayesian Consensus-Based Sample Size for One Normal Mean**

**Continual Reassessment Method**

Bayesian Reassessment Methods (Phase 1)

**Posterior Error Method**Posterior Error One Sample Z-test Comparing Mean to Specified Value

Posterior Error Paired Sample Z-test

Posterior Error Rate Calculator

Posterior Error Z-test of Two Means

Bayesian Factor for One Mean

Bayesian Consensus-Based Sample Size for One Proportion

**Bonus Tables**Gamma Regression

**Group Sequential Designs**Group Sequential Design for One Mean & Two Means

Group Sequential Design for One Proportion & Two Proportions

Group Sequential Design for Two Survival Curves accounting for Accrual Period

Group Sequential Test for Difference of Two Poisson Event Rates (equal follow-up)

Group Sequential Test for One Sample Proportion (Null Hypothesis Variance)

Group Sequential Test for Ratio of Two Negative Binomial Event Rates (unequal follow-up)

Group Sequential Test for Log-Rank Test, User-Specified Accrual Rates, Piecewise Survival and Dropout Rates

Group Sequential Test for Log-Rank Test, User-Specified Accrual, Piecewise Survival and Dropout Rates

Group Sequential Test for Non-inferiority of Mean Difference

**Conditional and Predictive Power**Conditional and Predictive Power for One Mean

Conditional and Predictive Power for One Proportion

Conditional and Predictive Power for Two Means

Conditional and Predictive Power for Two Proportions

Conditional and Predictive Power for Two Survival Curves

Conditional Power for 2x2 Cross-over Design

**Unblinded Sample Size Re-estimation**Unblinded Sample Size Re-estimation & Interim Monitoring for Two Means

Unblinded Sample Size Re-estimation & Interim Monitoring for Two Proportions

Unblinded Sample Size Re-estimation and Interim Monitoring for Two Survival

**Blinded Sample Size Re-estimation**Blinded Internal Pilot Sample Size Re-estimation for Two Sample χ2 Test for Inequality (Continuity Corrected)

Blinded Internal Pilot Sample Size Re-estimation for Two Sample χ2 Test for Non-inferiority (Continuity Corrected)

Blinded Sample Size Re-estimation for Two Sample Chi-Squared Test for Inequality

Blinded Sample Size Re-estimation for Two Sample Chi-Squared Test for Non-inferiority

Blinded Sample Size Re-estimation for Two Sample t-test for Equivalence (unequal n's)

Blinded Sample Size Re-estimation for Two Sample t-test for Equivalence Difference

Blinded Sample Size Re-estimation for Two Sample t-test for Inequality (common variance, unequal n's)

Blinded Sample Size Re-estimation for Two Sample t-test for Inequality Difference

Blinded Sample Size Re-estimation for Two Sample t-test for Non-inferiority (unequal n's)

Blinded Sample Size Re-estimation for Two Sample t-test for Non-inferiority Difference

Three Stage Phase II Design

Two Stage Phase II Design (Simon's Design)

Two Stage Phase II Design for Response and Toxicity (Bryant and Day)

Oncology Two Stage Phase IIA Design

**Count > Two - Test**Generalized MCP-Mod for Negative Binomial Rates

Generalized MCP-Mod for Poisson Rates

**Means > Two - Test**Multi-Arm Multi-Stage design for Means Endpoint (MAMS)

Generalized MCP-Mod for Means Endpoints

Multiple Comparisons Procedure - Modelling for Continuous Outcome (Unequal Variance)

**Proportion - One - Test**

One Proportion GST Fleming Design

**Proportion > Two - Test**

Generalized MCP-Mod for Proportions Endpoint

Multiple Arms Multiple Stage (MAMs) Group Sequential Design for Proportions

nQuery Predict uses simulation for milestone prediction with a variety of models for enrollment and events prediction.

Event Prediction

Unblinded

Blinded

Exponential Model

Piecewise Survival Model

Weibull Model

Dropout Modelling

Fixed Followup

Enrollment Status - Ongoing/ Complete

Subject-level

Site-level

Poisson

Summary data

**Proportions - One - Test**

Bayesian Assurance for One Proportion with Beta Prior

Bayesian Continual Reassessment Method for Maximum Tolerated Dose

Chi-Square Test for One Proportion

Chi-Square Test for One Proportion for Finite Population

Chi-Square test for Proportions in Multiple Categories

Exact Sign Test for Paired Proportions

Exact Test for One Proportion

McNemar's Chi-Square Test for Paired Proportions

Post Marketing Surveillance Cohort Study with Known Background Incidence

Post Marketing Surveillance Cohort Study with No Background Incidence

Test for Proportions in Matched Pair Case-Control Study

Test to Demonstrate Reliability for One Proportion

Test to Demonstrate Reliability for One Proportion with Specified Adverse Events

Inequalty Tests for One Proportion

Two Stage Phase II Design for Response and Toxicity (Bryant and Day)* (Only available in PRO)

One Proportion GST Fleming Design* (Only available in PRO)

**Proportions - One - Non-inferiority**Non-Inferiority Test for Difference in Paired Proportions

Non-Inferiority Test for Ratio of Paired Proportions

Non-inferiority Test for the Difference of Two Proportions in a 2x2 Crossover Design

Non-inferiority Test for the Odds Ratio of Two Proportions in a 2x2 Crossover Design

CRT Confidence Interval for One Proportion

Bayesian Consensus-Based Sample Size for One Proportion* (Only available in PRO)

Confidence Intervals for the Difference Between Two Correlated (Paired) Proportions

Confidence Interval for Difference in Paired Proportions using Simulation

Difference Equivalence Test for One Proportion

Difference Equivalence Test for Two Correlated Proportions

Lower Confidence Limit for Difference in Paired Proportions using Simulation

Non-Inferiority Test for Paired Proportions

Non-Inferiority Tests for One Proportion

Ratio Equivalence Test for Two Correlated Proportions

Upper Confidence Limit for Difference in Paired Proportions using Simulation

**Proportions > Two - Equivalence**Non-Inferiority Test for Proportions in a Three Armed Trial

Proportions - Two - Non-inferiority

Non-Inferiority Tests for the Difference of Two Proportions

Non-Inferiority Tests for the Ratio of Two Proportions

Non-Inferiority Tests for the Odds Ratio of Two Proportions

Bayesian Assurance for Two Proportions with Beta Prior for π₁

Bayesian Assurance for Two Proportions with Beta Prior for π₂

Bayesian Assurance for Two Proportions with Beta Priors for π₁ and π₂

Chi-Square Test for Two Proportions

Chi-Square Test for Two Proportions in Multiple Categories

Chi-Square Test for Two Proportions with Continuity Correction

Chi-Square Test for Two Proportions with Unequal n's

Chi-Square Test for Two Proportions with Unequal n's and Continuity Correction

Fisher's Exact Test for Two Proportions

Fisher's Exact Test for Two Proportions with Unequal n's

Group Sequential Test of Two Proportions

Mantel-Haenszel (Cochran) Test for Two Proportions

Mantel-Haenszel (Cochran) Test for Two Proportions with Continuity Correction

Mendelian Randomization with Binary Outcome

Mixed Models Test for Two Proportions in a 2-Level Hierarchical Design (Level-1 Randomization)

Mixed Models Test for Two Proportions in a 2-Level Hierarchical Design (Level-2 Randomization)

Mixed Models Test for Two Proportions in a 3-Level Hierarchical Design (Level 3 Randomization)

Mixed Models Test for Two Proportions in a 3-Level Hierarchical Design (Level-1 Randomization)

Mixed Models Test for Two Proportions in a 3-Level Hierarchical Design (Level-2 Randomization)

Post Marketing Surveillance Cohort Study with Unknown Background Incidence

Post Marketing Surveillance Matched Case-Control Study

Repeated Measures for Two Proportions

Test for Pairwise Proportion Differences in a Williams Crossover Design

Inequality Test for the Difference of Two Proportions in a 2x2 Crossover Design

Inequality Test for the Odds Ratio of Two Proportions in a 2x2 Crossover Design

Test for Autocorrelated Proportion Cohort Design (Shedding Study)

Test for Autocorrelated Proportion Crossover Design (Shedding Study)

Inequality Tests for Difference of Two Proportions

Inequality Tests for Ratio of Two Proportions

Inequality Tests for Odds Ratio of Two Proportions

Multiple Arms Multiple Stage (MaMs) Group Sequential Design for Proportions* (Only available in PRO)

Tests for Multiple Proportions in a One-Way Design

**Proportions - Two - Confidence Interval**Bayesian Credible Interval for Difference in Proportions

Confidence Interval for Difference in Two Proportions

Confidence Interval for Difference in Two Proportions with Continuity Correction

Confidence Interval for Difference in Two Proportions with Continuity Correction and Unequal n's

Confidence Interval for Difference in Two Proportions with Unequal n's

Confidence Interval for Log Odds Ratio for Two Proportions

Confidence Interval for Log Odds Ratio for Two Proportions with Unequal n's

Confidence Interval for Relative Risk of Two Proportions

Confidence Interval for Relative Risk of Two Proportions with Unequal n's

Confidence Interval for Vaccine Efficacy for Cohort Study

Mixed Bayesian Credible Interval for Difference in Proportions

Confidence Interval for Two Proportion Difference

Confidence Interval for Two Proportion Ratio

Confidence Interval for Two Proportion Odds Ratio

**Proportions - Two - Equivalence**Confidence Limits for Equivalence for Difference in Proportions using Simulation

Confidence Limits for Equivalence for Difference in Proportions with Unequal n's using Simulation

Equivalence Test for Generalised Odds Ratio 2x2 Crossover

Equivalence Test for Pairwise Proportion Differences in a Williams Crossover Design

Equivalence Tests for Two Proportions

Lower Confidence Limit for Equivalence for Difference in Proportions using Simulation

Lower Confidence Limit for Equivalence for Difference in Proportions with Unequal n's using Simulation

Non-Inferiority Test for Pairwise Proportion Differences in a Williams Crossover Design

Non-Inferiority Test for Two Proportions

Non-Inferiority Test for Two Proportions with Unequal n's

Non-Inferiority Test Generalised Odds Ratio 2x2 Crossover

Superiority by a Margin Test for Pairwise Proportion Differences in a Williams Crossover Design

Test for Generalised Odds Ratio 2x2 Crossover

Upper Confidence Limit for Equivalence for Difference in Proportions using Simulation

Upper Confidence Limit for Equivalence for Difference in Proportions with Unequal n's using Simulation

Equivalence Test for the Difference of Two Proportions in a 2x2 Crossover Design

Equivalence Test for the Odds Ratio of Two Proportions in a 2x2 Crossover Design

Equivalence Tests for the Ratio of Two Proportions

Equivalence Tests for the Odds Ratio of Two Proportions

**Proportions > Two Test**Chi-Square Test for Multiple Proportions

Chi-Square Test for Multiple Proportions in Multiple Categories

Chi-Square Test for Multiple Proportions in Multiple Categories with Unequal n's

Chi-Square Test for Multiple Proportions with Unequal n's

Single One-Way Contrast between Proportions in Logistic Model

Single One-Way Contrast between Proportions in Logistic Model with Unequal n's

Generalized MCP-Mod for Proportions Endpoint* (Only available in PRO)

Equivalence Test for Generalised Odds Ratio 2x2 Crossover

Equivalence Test for Pairwise Mean Differences in a Williams Crossover Design

Equivalence Test for Pairwise Proportion Differences in a Williams Crossover Design

Equivalence Test for Two Poisson Rates in a 2x2 Crossover Design

Inequality Test for Two Poisson Rates in a 2x2 Crossover Design

Non-Inferiority Test for Pairwise Mean Differences in a Williams Crossover Design

Non-Inferiority Test for Pairwise Proportion Differences in a Williams Crossover Design

Non-Inferiority Test for Two Poisson Rates in a 2x2 Crossover Design

Non-Inferiority Test Generalised Odds Ratio 2x2 Crossover

Superiority by a Margin Test for Pairwise Mean Differences in a Williams Crossover Design

Superiority by a Margin Test for Pairwise Proportion Differences in a Williams Crossover Design

Test for Generalised Odds Ratio 2x2 Crossover

Test for Pairwise Mean Differences in a Williams Crossover Design

Test for Pairwise Proportion Differences in a Williams Crossover Design

**Agreement - One - Test**Confidence Intervals for Coefficient Alpha

One Sample ROC Curve

One Sample Sensitivity Test

One Sample Specificity Test

Test for Agreement between Two Dichotomous Ratings using Intraclass Kappa

Test for Correlation Coefficient assuming Continuous Outcome

Test for Lin's Concordance Correlation Coefficient assuming Continuous Outcome

Test for One Cronbach's Alpha

Test for One Intra-Cluster Correlation

Test for Paired Sensitivity

**Agreement - One - Confidence Interval**Confidence Intervals for Point Biserial Correlation

One Sample ROC Curve

One Sample Sensitivity Test

One Sample Specificity Test

Test for Agreement between Two Dichotomous Ratings using Intraclass Kappa

Test for Correlation Coefficient assuming Continuous Outcome

Test for Lin's Concordance Correlation Coefficient assuming Continuous Outcome

Test for One Cronbach's Alpha

Test for One Intra-Cluster Correlation

Test for Paired Sensitivity

**Regression - One - Test**Conditional Logistic Regression for Case-Control Design with Binary Variable

Conditional Logistic Regression for Case-Control Design with Continuous Variable

Cox Regression

Linear Regression for Multiple Covariates

Linear Regression for Multiple Covariates Adjusted for Prior Covariates

Linear Regression for One Normal Covariate

Linear Regression Test of Coefficient

Logistic Regression for Binary Covariate

Logistic Regression for One Normal Covariate

Logistic Regression for One Normal Covariate Adjusted for Prior Covariates

Poisson Regression

Pro-bit Regression

Wald Test for Interaction of Two Binary Variables

Wald Test for One Binary Variable

Wald Test for Two Binary Variables

Compute Minimum Sample Size for Linear Prediction Model with Continuous Endpoints

Compute Minimum Sample Size for Cox Prediction Model with Survival Outcomes

Compute Minimum Sample Size for Logistic Prediction Model with Binary Outcomes

**Regression - One - Confidence Interval**Confidence Interval for Logistic Regression Interaction Odds Ratio for Two Binary Covariates

Confidence Interval for Logistic Regression Odds Ratio for Binary Covariate

Confidence Interval for Logistic Regression Odds Ratio for Two Binary Covariates

Confidence Interval for Slope in Linear Regression

Confidence Intervals for Michaelis-Menten Parameters

**Regression - Two Test**Linear Regression Test of Slopes in Two Samples

**Regression - Two - Confidence Interval**Confidence Interval for Difference in Linear Regression Slopes

CRT Two Means Completely Randomized

CRT Two Means Completely Randomized with Unequal k's/m's

CRT Two Means Equivalence Completely Randomized

CRT Two Means Matched Pairs

CRT Two Means Non-Inferiority Completely Randomized

CRT Two Means Superiority by a Margin Completely Randomized

CRT Two Proportions Equivalence Completely Randomized

CRT Two Proportions Inequality Completely Randomized

CRT Two Proportions Matched Pair

CRT Two Proportions Non-Inferiority Completely Randomized

CRT Two Proportions Superiority by a Margin Completely Randomized

CRT Two Rates Completely Randomized

CRT Two Rates Matched Pair

CRT Two Survival Curves

Inequality Test for Ratio of Two Poisson Rates in Complete Stepped-Wedge CRT

CRT Two Poisson Rates Stepped-Wedge Design Incomplete

Inequality test for two proportions in a Stepped-Wedge Cluster-Randomised Design

CRT Two Mean Difference Stepped-Wedge Design Complete

View Worked Examples

Vaccine Efficacy Confidence Interval - Cohort Study

Vaccine Efficacy Confidence Interval - Case-Control Study

Logistic Regression for Binary Covariate

Conditional Logistic Regression binary

Conditional Logistic Regression continuous

Mendelian Randomized Trial - 2 Means

Mendelian Randomized Trial - 2 Props

Equivalence for CRT Means

Equivalence for Negative Binomial

Equivalence for Negative Binomial Unequal Follow-Up

Equivalence for One Mean

Equivalence for One Mean Ratio

Equivalence for Paired Means

Equivalence for Paired Means Ratio

Equivalence for Two Poisson Rates

Equivalence for Two Proportions

Non-inferiority for cross-over design

Non-inferiority for cross-over ratio on log-scale

Non-inferiority for cross-over ratio on original scale

Non-Inferiority for CRT Means

Non-inferiority for Negative Binomial

Non-inferiority for Negative Binomial Unequal Follow-Up

Non-inferiority for One Log-Normal Mean

Non-inferiority for One Mean

Non-inferiority for Paired Means Ratio

Non-inferiority for single proportions

Non-inferiority for two Poisson Rates

Non-inferiority for two-sample ratio on log-scale

Non-inferiority for two-sample ratio on original scale

Superiority for CRT Two Means

CI for Standard Deviation Rel Error

CI for Standard Deviation SD

CI for Standard Deviation Tol

CI for Two Variances

CI for Two Variances Relative Error

CI for Variance Relative Error

CI for Variance Tolerance Prob

CI for Variance Variances

Inequality Tests for Two Means in a Cluster-Randomized Design (Unequal k's/m's)

One Sample t-test for Log-Normal data

Paired t-test for Mean Ratio (logscale)

Wilcoxon Sign-Rank Test

Automated Installation and Operational Qualification

Updated User Interface

Automatic Application Updates

Fine tune calculations with the Specify Multiple Factors tool

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