B ayesian Survival Analysis
University of North Carolina at Chapel Hill · University of Connecticut · +1 more institution
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Abstract
Abstract 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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3Topics & keywords
Topics
Keywords
- Bayesian probability
- Parametric statistics
- Survival analysis
- Computer science
- Semiparametric model
- Approximate Bayesian computation
- Proportional hazards model
- Parametric model
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