文章基本信息

标题：Bayesian Survival Analysis without Covariates Using Optimization and Simulation Tools
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作者：Yasmin Khan ; Athar Ali Khan
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：12
页码：20598
DOI：10.15680/IJIRSET.2016.0512082
出版社：S&S Publications
摘要：Weibull and exponential distribution is one of the most important and flexible distributions in survivalanalyses. In this paper, Bayesian regression analysis without covariate with censoring mechanism is carried out forintrauterine device (IUD) data problem. Throughout the Bayesian approach is implemented using R and appropriateillustrations are made.
关键词：Bayesian Inference; Right censoring; LaplaceApproximation; Survival function.