A new measure of treatment effect in clinical trials involving competing risks based on generalized pairwise comparisons
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Publication:6071296
DOI10.1002/bimj.201900354zbMath1523.62096OpenAlexW3087312814WikidataQ99559367 ScholiaQ99559367MaRDI QIDQ6071296
Brice Maxime Hugues Ozenne, Unnamed Author, Marc Buyse, Mickaël De Backer, Unnamed Author, Unnamed Author, Catherine Legrand, Laurence Collette
Publication date: 23 November 2023
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.201900354
multicriteria analysissurvival analysisclinical trialcompeting risksgeneralized pairwise comparisons
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Cites Work
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- A class of k-sample tests for comparing the cumulative incidence of a competing risk
- Nonparametric Estimation from Incomplete Observations
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- Generalised linear models for correlated pseudo-observations, with applications to multi-state models
- A Proportional Hazards Model for the Subdistribution of a Competing Risk
- A generalized two-sample Wilcoxon test for doubly censored data
- Direct Parametric Inference for the Cumulative Incidence Function
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