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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>).
Getting started
Proportional win-fractions (PW) regression of composite endpoints of death and nonfatal event"
Sample size calculation for standard win ratio test"
Stratified proportional win-fractions (PW) regression of composite endpoints of death and nonfatal event"
Two-sample win ratio tests of possibly recurrent event and death"
Browse package contents
Package details |
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| Author | Lu Mao and Tuo Wang |
| Maintainer | Lu Mao <lmao@biostat.wisc.edu> |
| License | GPL (>= 2) |
| Version | 1.0 |
| URL | https://sites.google.com/view/lmaowisc/ |
| Package repository | View on CRAN |
| Installation |
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