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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 |
| DOI: | 10.32614/CRAN.package.powerSurvEpi |
| 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: | Epidemiology, Survival |
| CRAN checks: | powerSurvEpi results |
| Reference manual: | powerSurvEpi.pdf |
| 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-oldrel (arm64): powerSurvEpi_0.1.3.tgz, r-release (x86_64): powerSurvEpi_0.1.3.tgz, r-oldrel (x86_64): powerSurvEpi_0.1.3.tgz |
| Old sources: | powerSurvEpi archive |
| Reverse imports: | PSS.Health |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.