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We consider Bayesian hierarchical models for survival analysis, where the survival times are modeled through an underlying diffusion process which determines the hazard rate. We show how these models ...
The paper traces the development of the use of martingale methods in survival analysis from the mid 1970’s to the early 1990’s. This development was initiated by Aalen’s Berkeley PhD-thesis in 1975,...
Survival Analysis: Parametrics to Semiparametrics to Pharmacogenomics。
In this paper we consider analysis of survival data with incomplete covariate information. We model the incomplete covariates as a random coarsening of the complete covariate, and an overview of the...
The GS-distribution is a family of distributions that provide an accurate representation of any unimodal univariate continuous distribution. In this contribution we explore the utility of this family ...
In this work we deal with correlated failure time (age at onset) data arising from populationbased case-control studies, where case and control probands are selected by populationbased sampling and an...

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