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powerSurvEpi  

Power and Sample Size Calculation for Survival Analysis of Epidemiological Studies
View on CRAN: Click here


Download and install powerSurvEpi package within the R console
Install from CRAN:
install.packages("powerSurvEpi")

Install from Github:
library("remotes")
install_github("cran/powerSurvEpi")

Install by package version:
library("remotes")
install_version("powerSurvEpi", "0.1.5")



Attach the package and use:
library("powerSurvEpi")
Maintained by
Weiliang Qiu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-04-17
Latest Update: 2025-06-22
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.
How to cite:
Weiliang Qiu (2009). powerSurvEpi: Power and Sample Size Calculation for Survival Analysis of Epidemiological Studies. R package version 0.1.5, https://cran.r-project.org/web/packages/powerSurvEpi. Accessed 13 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:43), 0.0.5 (2009-04-17 21:07), 0.0.6 (2012-03-31 18:30), 0.0.9 (2015-07-24 07:54), 0.1.0 (2018-02-07 17:55), 0.1.1 (2021-01-08 14:50), 0.1.3 (2021-03-01 07:30)
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Complete documentation for powerSurvEpi
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