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powerSurvEpi (version 0.1.3)

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

944

Version

0.1.3

License

GPL (>= 2)

Maintainer

Last Published

March 1st, 2021

Functions in powerSurvEpi (0.1.3)

numDEpi.default

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

Ophthalmology Data
numDEpi

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

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

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

Power Calculation for Survival Analysis with Binary Predictor and Exponential Survival Function
powerConLogistic.bin

Sample Size Calculation for Conditional Logistic Regression with Binary Covariate
powerEpiInt.default0

Power Calculation Testing Interaction Effect for Cox Proportional Hazards Regression
powerEpi

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

Power Calculation in the Analysis of Survival Data for Clinical Trials
powerConLogistic.con

Sample Size Calculation for Conditional Logistic Regression with Continuous Covariate
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

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

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
ssizeEpiInt.default1

Sample Size Calculation Testing Interaction Effect for Cox Proportional Hazards Regression
ssizeEpiInt2

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

Sample Size Calculation for Cox Proportional Hazards Regression
powerEpiCont

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

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

Sample size calculation for Survival Analysis with Binary Predictor and Exponential Survival Function
ssizeEpi.default

Sample Size Calculation for Cox Proportional Hazards Regression
ssizeEpiInt

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

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

Sample Size 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
ssizeCT.default

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