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powerSurvEpi (version 0.0.6)

Power and sample size calculation for survival analysis of epidemiological studies

Description

This package includes a set of 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.

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Version

Install

install.packages('powerSurvEpi')

Monthly Downloads

916

Version

0.0.6

License

GPL (>= 2)

Maintainer

Weiliang Qiu

Last Published

March 31st, 2012

Functions in powerSurvEpi (0.0.6)

ssizeEpi.default

Sample Size Calculation for Cox Proportional Hazards Regression with two covariates for Epidemiological Studies (Covariate of interest should be binary)
ssizeEpiCont

Sample Size Calculation for Cox Proportional Hazards Regression with nonbinary covariates for Epidemiological Studies
powerEpi

Power Calculation for Cox Proportional Hazards Regression with Two Covariates for Epidemiological Studies (Covariate of interest should be binary)
powerEpiInt.default0

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

Calculate Number of Deaths Required for Cox Proportional Hazards Regression with Two Covariates for Epidemiological Studies (Covariate of interest should be binary)
ssizeEpiInt

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

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

Power calculation for survival analysis with binary predictor and exponential survival function
powerEpi.default

Power Calculation for Cox Proportional Hazards Regression with Two Covariates for Epidemiological Studies (Covariate of interest should be binary)
powerEpiCont.default

Power Calculation for Cox Proportional Hazards Regression with nonbinary covariates for Epidemiological Studies
ssizeEpi

Sample Size Calculation for Cox Proportional Hazards Regression with two covariates for Epidemiological Studies (Covariate of interest should be binary)
ssizeEpiInt.default0

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

Calculate Number of Deaths Required for Cox Proportional Hazards Regression with Two Covariates for Epidemiological Studies (Covariate of interest should be binary)
powerCT.default

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

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

Sample Size Calculation in the Analysis of Survival Data for Clinical Trials
ssizeEpiInt.default1

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

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

Ophthalmology Data
ssizeEpiInt2

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

Power Calculation for Cox Proportional Hazards Regression with nonbinary covariates for Epidemiological Studies
powerCT.default0

Power Calculation in the Analysis of Survival Data for Clinical Trials
ssizeEpiCont.default

Sample Size Calculation for Cox Proportional Hazards Regression with nonbinary covariates for Epidemiological Studies
powerEpiInt2

Power Calculation Testing Interaction Effect for Cox Proportional Hazards Regression with two covariates for Epidemiological Studies (Both covariates should be binary)
powerEpiInt.default1

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

Sample size calculation for survival analysis with binary predictor and exponential survival function