powerSurvEpi: Power and sample size calculation for survival analysis of epidemiological studies

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.

Version: 0.0.5
Depends: R (≥ 2.8.1)
Imports: stats, survival
Published: 2009-04-17
Author: Weiliang Qiu, Jorge Chavarro, Ross Lazarus, Bernard Rosner, Jing Ma.
Maintainer: Weiliang Qiu <stwxq at channing.harvard.edu>
License: GPL (≥ 2)
CRAN checks: powerSurvEpi results

Downloads:

Package source: powerSurvEpi_0.0.5.tar.gz
MacOS X binary: powerSurvEpi_0.0.5.tgz
Windows binary: powerSurvEpi_0.0.5.zip
Reference manual: powerSurvEpi.pdf