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Sample size using Bayesian analysis
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Sample Size & Power Calculation Procedures in nQuery

nQuery Advanced has 1000+ validated statistical procedures for sample size and power calculations covering Adaptive, Bayesian and classical clinical trial designs. Browse our list below to see what tables you get in nQuery.

Survival Tables For Sample Size Determination

A branch of statistics for analyzing the expected duration of time until one or more events happen.

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 - 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

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

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


Means Tables For Sample Size Determination

Compare two means or compare the mean

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

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

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
Means - Two Test - Confidence Intervals
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 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

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)

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

Bayesian Tables For Sample Size Determination

These tables are available in the Plus and Pro Packages.
For more info click below.
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Calculate the true probability of success and formalize your sample size sensitivity analysis. 

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 Intervals
Bayesian Credible HPD Interval for One Proportion
Difference in Two Proportions - Mixed
Difference in Two Proportions - Unknown Precision
Mixed Bayes/Likelihood for Two Means Equal Variance
Mixed Bayesian/Likelihood HPD Interval for One Proportion
One Sample Bayesian Credible Interval for Parameter with Known Precision
One Sample Bayesian Credible Interval for Parameter with Unknown Precision
Two Sample Bayesian Credible Interval for Parameter with Known Precision
Two Sample Bayesian Credible Interval for Parameter with Unknown Precision
Unequal Variance Means - Known Precision
Unequal Variance Means - Mixed

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 

Bonus Tables
Gamma Regression
n-of-1 bonus tables

Adaptive Tables For Sample Size Determination

These tables are only available in the Pro Package.
For more info click below.
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Make trials more flexible by using interim results to modify the trial’s course in accordance with pre-specified rules.

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)

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

Phase II Multistage Designs
Single Stage Phase II Design (A'Hern's Design)
Three Stage Phase II Design
Two Stage Phase II Design (Simon's Design)




 

Proportions Tables For Sample Size Determination

Studies that measure the proportion of people who have some characteristic or compare this proportion with another group.

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


Proportions - One - Equivalence
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 Test
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

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

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

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

Crossover Tables For Sample Size Determination

The longitudinal study in which subjects receive a sequence of different treatments.

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 Tables For Sample Size Determination

Assessing the correlation or relationship between two measurements. 

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 Tables For Sample Size Determination

The measure that attempts to determine the strength of the relationship between one dependent variable and a series of other changing variables.

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

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

Cluster Randomized Trials Tables  For Sample Size Determination

A type of randomized controlled trial in which groups of subjects ( as opposed to individual subjects) are randomized. 

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


View Worked Examples 

Epidemiology Tables For Sample Size Determination

The study and analysis of the distribution and determinants of health and disease conditions in defined populations.


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 / Non-Inferiority Tables For Sample Size Determination

Determine if new therapies have equivalent or non-inferior efficacies to the ones currently in use

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

Miscellaneous Sample Size Tables & Procedures

Other miscellaneous tables for sample size calculation

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

 

Plotting Features To Demonstrate Your Sample Size Calculations

Easily conduct a variety of ‘’What if’’ scenarios to align your final sample size choice with your scientific and budgetary requirements.

Boundaries Graph
Improved Custom Row Plots
Inverse Boundaries Graph
Multiple Boundaries Plot
Power Vs. Sample Size

View Examples 

Features & Utilities in nQuery

IQ/OQ Validation, Automated Updates, nQuery Knowledge Base and fine tune calculations with the  Specify Multiple Factors Tool

Automated Installation and Operational Qualification
Updated User Interface
Automatic Application Updates
Fine tune calculations with the Specify Multiple Factors tool
nQuery Knowledge Base

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