Bayesian Survival Analysis
4
Joseph G. Ibrahim,
Ming-Hui Chen, Debajyoti Sinha,
Joseph G. Ibrahim
University of North Carolina, Chapel Hill, USA
Search for more papers by this authorDebajyoti Sinha
University of South Carolina, Columbia, SC, USA
Search for more papers by this authorJoseph G. Ibrahim,
Ming-Hui Chen, Debajyoti Sinha,
Joseph G. Ibrahim
University of North Carolina, Chapel Hill, USA
Search for more papers by this authorDebajyoti Sinha
University of South Carolina, Columbia, SC, USA
Search for more papers by this authorAbstract
Great strides in the analysis of survival data using Bayesian methods have been made in the past ten years due to advances in Bayesian computation and the feasibility of such methods. In this chapter, we review Bayesian advances in survival analysis and discuss the various semiparametric modeling techniques that are now commonly used. We review parametric and semiparametric approaches to Bayesian survival analysis, with a focus on proportional hazards models. Reference to other types of models are also given.
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