In this last chapter, we discuss various other topics in Bayesian survival analysis. Specifically, we discuss semiparametric proportional hazards models built from monotone function, accelerated failure time models, Dirichlet process and Polya tree priors in survival analysis, Bayesian survival analysis using multivariate adaptive regression splines (MARS), change point models, poly-Weibull models, hierarchical survival models using neural networks, Bayesian model diagnostics, and future research topics.
KeywordsMultivariate Adaptive Regression Spline Dirichlet Process Frailty Model Predictive Score Accelerate Failure Time Model
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