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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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Bibliografische gegevens
Gepubliceerd in:Clin Trials
Hoofdauteurs: Diao, Guoqing, Ibrahim, Joseph G.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2019
Onderwerpen:
Online toegang: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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