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.

Documentation

Manual: powerSurvEpi.pdf
Vignette: None available.

Maintainer: Weiliang Qiu <stwxq at channing.harvard.edu>

Author(s): Weiliang Qiu <stwxq at channing.harvard.edu>, Jorge Chavarro <JCHAVARR at hsph.harvard.edu>, Ross Lazarus <ross.lazarus at channing.harvard.edu>, Bernard Rosner <stbar at channing.harvard.edu>, Jing Ma <jing.ma at channing.harvard.edu>.

Install package and any missing dependencies by running this line in your R console:

install.packages("powerSurvEpi")

Depends R (>= 3.1.0)
Imports stats, survival
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depends
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imports
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Package powerSurvEpi
Materials
URL
Task Views Survival
Version 0.0.9
Published 2015-07-24
License GPL (>= 2)
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks powerSurvEpi check results
Package source powerSurvEpi_0.0.9.tar.gz