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A Proportional Hazards Regression Model for the Sub-distribution with Covariates Adjusted Censoring Weight for Competing Risks Data

With competing risks data, one often needs to assess the treatment and covariate effects on the cumulative incidence function. Fine and Gray proposed a proportional hazards regression model for the subdistribution of a competing risk with the assumption that the censoring distribution and the covari...

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Dettagli Bibliografici
Pubblicato in:Scand Stat Theory Appl
Autori principali: HE, PENG, ERIKSSON, FRANK, SCHEIKE, THOMAS H., ZHANG, MEI-JIE
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2015
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4809648/
https://ncbi.nlm.nih.gov/pubmed/27034534
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/sjos.12167
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