powerSurvEpi: Power and Sample Size Calculation for Survival Analysis of Epidemiological Studies

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.

Version: 0.1.3
Depends: R (≥ 3.6.0)
Imports: stats, survival, pracma
Published: 2021-03-01
Author: Weiliang Qiu, Jorge Chavarro, Ross Lazarus, Bernard Rosner, Jing Ma.
Maintainer: Weiliang Qiu <weiliang.qiu at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
In views: Survival
CRAN checks: powerSurvEpi results

Documentation:

Reference manual: powerSurvEpi.pdf

Downloads:

Package source: powerSurvEpi_0.1.3.tar.gz
Windows binaries: r-devel: powerSurvEpi_0.1.3.zip, r-release: powerSurvEpi_0.1.3.zip, r-oldrel: powerSurvEpi_0.1.3.zip
macOS binaries: r-release (arm64): powerSurvEpi_0.1.3.tgz, r-release (x86_64): powerSurvEpi_0.1.3.tgz, r-oldrel: powerSurvEpi_0.1.3.tgz
Old sources: powerSurvEpi archive

Reverse dependencies:

Reverse imports: PSS.Health

Linking:

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