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powerSurvEpi (version 0.1.5)

Power and Sample Size Calculation for Survival Analysis of Epidemiological Studies

Description

Functions to calculate power and sample size for testing main effect or interaction effect in the survival analysis of epidemiological studies (non-randomized studies), taking into account the correlation between the covariate of the interest and other covariates. Some calculations also take into account the competing risks and stratified analysis. This package also includes a set of functions to calculate power and sample size for testing main effect in the survival analysis of randomized clinical trials and conditional logistic regression for nested case-control study.

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Version

Install

install.packages('powerSurvEpi')

Monthly Downloads

1,453

Version

0.1.5

License

GPL (>= 2)

Maintainer

Weiliang Qiu

Last Published

June 22nd, 2025

Functions in powerSurvEpi (0.1.5)

powerEpiCont

Power Calculation for Cox Proportional Hazards Regression with Nonbinary Covariates for Epidemiological Studies
ssize.stratify

Sample size calculation for Survival Analysis with Binary Predictor and Exponential Survival Function
powerWelchT

Power of Two-Sided Two Sample T Test With Unequal Variances And Unequal Sample Sizes
powerEpiInt2

Power Calculation Testing Interaction Effect for Cox Proportional Hazards Regression
powerEpi.default

Power Calculation for Cox Proportional Hazards Regression with Two Covariates for Epidemiological Studies
powerEpiInt

Power Calculation Testing Interaction Effect for Cox Proportional Hazards Regression with two covariates for Epidemiological Studies (Both covariates should be binary)
ssizeCT

Sample Size Calculation in the Analysis of Survival Data for Clinical Trials
powerEpiCont.default

Power Calculation for Cox Proportional Hazards Regression with Nonbinary Covariates for Epidemiological Studies
powerEpiInt.default1

Power Calculation Testing Interaction Effect for Cox Proportional Hazards Regression
powerEpiInt.default0

Power Calculation Testing Interaction Effect for Cox Proportional Hazards Regression
ssizeEpiInt.default0

Sample Size Calculation Testing Interaction Effect for Cox Proportional Hazards Regression
ssizeEpiInt.default1

Sample Size Calculation Testing Interaction Effect for Cox Proportional Hazards Regression
ssizeEpi

Sample Size Calculation for Cox Proportional Hazards Regression
ssizeWelchT

Sample Size Calculation For Two-Sided Two Sample T Test With Unequal Variances And Unequal Sample Sizes
ssizeEpiCont.default

Sample Size Calculation for Cox Proportional Hazards Regression with Nonbinary Covariates for Epidemiological Studies
ssizeEpiInt2

Sample Size Calculation Testing Interaction Effect for Cox Proportional Hazards Regression
ssizeEpiCont

Sample Size Calculation for Cox Proportional Hazards Regression with Nonbinary Covariates for Epidemiological Studies
ssizeCT.default

Sample Size Calculation in the Analysis of Survival Data for Clinical Trials
ssizeEpiInt

Sample Size Calculation Testing Interaction Effect for Cox Proportional Hazards Regression
ssizeEpi.default

Sample Size Calculation for Cox Proportional Hazards Regression
power.stratify

Power Calculation for Survival Analysis with Binary Predictor and Exponential Survival Function
powerCT

Power Calculation in the Analysis of Survival Data for Clinical Trials
Oph

Ophthalmology Data
powerConLogistic.con

Sample Size Calculation for Conditional Logistic Regression with Continuous Covariate
powerCT.default0

Power Calculation in the Analysis of Survival Data for Clinical Trials
numDEpi

Calculate Number of Deaths Required for Cox Proportional Hazards Regression with Two Covariates for Epidemiological Studies
numDEpi.default

Calculate Number of Deaths Required for Cox Proportional Hazards Regression with Two Covariates for Epidemiological Studies
powerConLogistic.bin

Sample Size Calculation for Conditional Logistic Regression with Binary Covariate
powerEpi

Power Calculation for Cox Proportional Hazards Regression with Two Covariates for Epidemiological Studies
powerCT.default

Power Calculation in the Analysis of Survival Data for Clinical Trials