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

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Chih-Yu Hsiao,You-Jia Liu,Mao-Jiun J. Wangsing Bayesian design and monitoring of randomized trials, including Berry (1985, 1987, 1993), Freedman and Spiegelhalter (1983, 1989, 1992), Spiegelhalter and Freedman (1986, 1988), Spiegelhalter, Freedman, and Blackburn (1986), Breslow (1990), Jennison and Turnbull (1990), Thall and Simon (1994), F
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Sanjay Ghosh,Anirudha Joshi,Sanjay Tripathils 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 networ
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Bayesian Survival Analysis978-1-4757-3447-8Series ISSN 0172-7397 Series E-ISSN 2197-568X
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Joseph G. Ibrahim,Ming-Hui Chen,Debajyoti SinhaFirst book on survival analysis from a Bayesian viewpoint.Balanced presentation of theory and apllications.Applications taken from the health sciences, including AIDS, cancer, and design and monitorin
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Michael J. Smith,Gavriel Salvendych recent attention due to advances in computational and modeling techniques. Bayesian methods are now becoming quite common for survival data and have made their way into the medical and public health arena.
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Yoko Nishihara,Jiaxiu Ma,Ryosuke Yamanishiach case, we give a development of the prior process, construct the likelihood function, derive the posterior distributions, and discuss MCMC sampling techniques for inference. Several applications involving case studies are given to demonstrate the various methods.
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Moonseong Kim,Matt W. Mutka,Hyunseung Choo(1999), Ibrahim, Chen, and Sinha (2001b), Ibrahim and Chen (1998), Ibrahim, Chen, and MacEachern (1999), Sahu, Dey, Aslanidou, and Sinha (1997), Aslanidou, Dey, and Sinha (1998), Chen, Harrington, and Ibrahim (1999), and Ibrahim, Chen, and Sinha (2001a).
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