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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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Bibliographische Detailangaben
Veröffentlicht in:Clin Trials
Hauptverfasser: Diao, Guoqing, Ibrahim, Joseph G.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2019
Schlagworte:
Online Zugang: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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