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Quantifying time-varying cause-specific hazards and subdistribution hazards ratios with competing risks data

Various non-proportional hazards model have been developed in the literature for competing risks data. The regression coefficients under these models, however, typically cannot be compared directly. We propose new methods to quantify the average of the time-varying cause-specific hazard ratios and s...

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Détails bibliographiques
Publié dans:Clin Trials
Auteurs principaux: Diao, Guoqing, Ibrahim, Joseph G.
Format: Artigo
Langue:Inglês
Publié: 2019
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC8258606/
https://ncbi.nlm.nih.gov/pubmed/31165631
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1740774519852708
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