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powerSurvEpi (version 0.0.9)

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.

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Version

Install

install.packages('powerSurvEpi')

Monthly Downloads

916

Version

0.0.9

License

GPL (>= 2)

Maintainer

Weiliang Qiu

Last Published

July 24th, 2015

Functions in powerSurvEpi (0.0.9)

powerEpiInt2

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

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

Power Calculation in the Analysis of Survival Data for Clinical Trials
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
power.stratify

Power Calculation for Survival Analysis with Binary Predictor and Exponential Survival Function
ssizeEpiCont.default

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

Sample Size Calculation for Cox Proportional Hazards Regression
ssizeEpiInt.default1

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

Ophthalmology Data
powerEpiInt.default0

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

Power Calculation in the Analysis of Survival Data for Clinical Trials
ssizeEpiInt.default0

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

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

Sample Size Calculation for Cox Proportional Hazards Regression
powerEpiInt.default1

Power Calculation Testing Interaction Effect for Cox Proportional Hazards Regression
powerCT

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

Calculate Number of Deaths Required for Cox Proportional Hazards Regression with Two Covariates for Epidemiological Studies
powerEpi

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

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

Sample Size Calculation in the Analysis of Survival Data for Clinical Trials
ssize.stratify

Sample size calculation for Survival Analysis with Binary Predictor and Exponential Survival Function
ssizeEpiInt2

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

Power 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
numDEpi

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