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
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-release (x86_64): WR_1.0.tgz, r-oldrel: WR_1.0.tgz
Old sources: WR archive

Linking:

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