ArticleStatistics in medicine2022
Stratified proportional win-fractions regression analysis.
Article in Statistics in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Methods for analyzing recurrent and terminal events considering composite and competing endpoints in clinical trials: a practical overview.BMC medical research methodology · 2026Review
- Predicting Win-Loss Probabilities for Composite Time-to-Event Outcomes Under The Proportional Win-Fractions Regression Model.Statistics in medicine · 2026Article
- Defining estimand for the win ratio: Separate the true effect from censoring.Clinical trials (London, England) · 2024Article
- Stratified proportional win-fractions regression analysis.Statistics in medicine · 2022Article
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2 authors.
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Abstract
The recently proposed proportional win-fractions (PW) model extends the two-sample win ratio analysis of prioritized composite endpoints to regression. Its proportionality assumption ensures that the covariate-specific win ratios are invariant to the follow-up time. However, this assumption is strong and may not be satisfied by every covariate in the model. We develop a stratified PW model that adjusts for certain prognostic factors without setting them as covariates, thus bypassing the proportionality requirement. We formulate the stratified model based on pairwise comparisons within each stratum, with a common win ratio across strata modeled as a multiplicative function of the covariates. Correspondingly, we construct an estimating function for the regression coefficients in the form of an incomplete
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