WR: Win Ratio Analysis of Composite Time-to-Event Outcomes
Description
Implements various win ratio methodologies for composite endpoints of death and nonfatal events, including the (stratified) proportional win-fractions (PW) regression models (Mao and Wang, 2021 <doi:10.1111/biom.13382>), (stratified) two-sample tests with possibly recurrent nonfatal events (Mao et al., 2022 <doi:10.1177/09622802221084134>), and sample size calculation for standard win ratio test (Mao et al., 2021 <doi:10.1111/biom.13501>).
References
Mao, L. (2019). On the alternative hypotheses for the win ratio. Biometrics, 75, 347-351.
Mao, L. and Kim, K. (2021). Statistical models for composite endpoints of death and non-fatal events: a review. Statistics in Biopharmaceutical Research, 13, 260-269.
Mao, L., Kim, K., and Li, Y. (2022). On recurrent-event win ratio. Statistical Methods in Medical Research, 31, 1120-1134.
Mao, L., Kim, K., and Miao, X. (2021). Sample size formula for general win ratio analysis. Biometrics, 78, 1257-1268.
Mao, L. and Wang, T. (2021). A class of proportional win-fractions regression models for composite outcomes. Biometrics, 77, 1265-1275.
Pocock, S. J., Ariti, C. A., Collier, T. J., and Wang, D. (2012). The win ratio: a new approach to the analysis of composite endpoints in clinical trials based on clinical priorities. European Heart Journal, 33, 176-182.