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A proportional hazards regression model for the subdistribution with right-censored and left-truncated competing risks data

With competing risks failure time data, one often needs to assess the covariate effects on the cumulative incidence probabilities. Fine and Gray proposed a proportional hazards regression model to directly model the subdistribution of a competing risk. They developed the estimating procedure for rig...

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Autors principals: Zhang, Xu, Zhang, Mei-Jie, Fine, Jason
Format: Artigo
Idioma:Inglês
Publicat: 2011
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3408877/
https://ncbi.nlm.nih.gov/pubmed/21557288
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.4264
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