Bayesian random-effects threshold regression with application to survival data with nonproportional hazards
نویسندگان
چکیده
منابع مشابه
Bayesian random-effects threshold regression with application to survival data with nonproportional hazards.
In epidemiological and clinical studies, time-to-event data often violate the assumptions of Cox regression due to the presence of time-dependent covariate effects and unmeasured risk factors. An alternative approach, which does not require proportional hazards, is to use a first hitting time model which treats a subject's health status as a latent stochastic process that fails when it reaches ...
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ژورنال
عنوان ژورنال: Biostatistics
سال: 2009
ISSN: 1465-4644,1468-4357
DOI: 10.1093/biostatistics/kxp041