Titlebook: Bayesian Survival Analysis; Joseph G. Ibrahim,Ming-Hui Chen,Debajyoti Sinha Book 2001 Springer Science+Business Media New York 2001 Bayesi

Palpitation

Parametric Models,ls. Parametric modeling offers straightforward modeling and analysis techniques. In this chapter, we discuss parametric models for univariate right censored survival data. We derive the posterior and predictive distributions and demonstrate how to carry out Bayesian analyses for several commonly use

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Semiparametric Models,gy and the development of efficient computational algorithms for implementing these methods. Nonparametric Bayesian methods have now become quite common and well accepted in practice, since they offer a more general modeling strategy that contains fewer assumptions. The literature on nonparametric B

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dendrites

Arthropathy

Model Comparison,arison in survival analysis are becoming increasingly popular. There has been a recent surge in the statistical literature on Bayesian methods for model comparison, including articles by George and McCulloch (1993), Madigan and Raftery (1994), Ibrahim and Laud (1994), Laud and Ibrahim (1995), Kass a