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powerSurvEpi (version 0.0.5)

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. 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

0.0.5

License

GPL (>= 2)

Maintainer

Weiliang Qiu

Last Published

April 17th, 2009

Functions in powerSurvEpi (0.0.5)

ssizeEpiInt.default1

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

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

ssizeCT.default

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

ssizeEpi.default

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

ssizeEpiCont.default

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

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

ssizeEpiInt.default0

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

powerEpi.default

Power Calculation for Cox Proportional Hazards Regression with Two Covariates for Epidemiological Studies (Covariate of interest 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)

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

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

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

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

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

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

Power Calculation in the Analysis of Survival Data for Clinical Trials

Ophthalmology Data

Sample Size 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

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