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WR: Win Ratio Analysis of Composite Time-to-Event Outcomes

Implements various win ratio methodologies for composite endpoints of death and non-fatal events, including the (stratified) proportional win-fractions (PW) regression models (Mao and Wang, 2020 <doi:10.1111/biom.13382>), (stratified) two-sample tests with possibly recurrent nonfatal event, and sample size calculation for standard win ratio test (Mao et al., 2021 <doi:10.1111/biom.13501>).

Version: 1.0
Depends: R (≥ 3.5.0)
Imports: survival, cubature, gumbel
Suggests: knitr, rmarkdown
Published: 2021-11-26
DOI: 10.32614/CRAN.package.WR
Author: Lu Mao and Tuo Wang
Maintainer: Lu Mao <lmao at biostat.wisc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://sites.google.com/view/lmaowisc/
NeedsCompilation: no
CRAN checks: WR results

Documentation:

Reference manual: WR.pdf
Vignettes: Proportional win-fractions (PW) regression of composite endpoints of death and nonfatal event
Stratified proportional win-fractions (PW) regression of composite endpoints of death and nonfatal event
Sample size calculation for standard win ratio test
Two-sample win ratio tests of recurrent event and death

Downloads:

Package source: WR_1.0.tar.gz
Windows binaries: r-devel: WR_1.0.zip, r-release: WR_1.0.zip, r-oldrel: WR_1.0.zip
macOS binaries: r-release (arm64): WR_1.0.tgz, r-oldrel (arm64): WR_1.0.tgz, r-release (x86_64): WR_1.0.tgz, r-oldrel (x86_64): WR_1.0.tgz
Old sources: WR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=WR to link to this page.

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.
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