文章基本信息

标题：Bayesian prediction modelling for two-stage experimental trials for Poisson or Gamma distributed data
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作者：Houda Bourezaz ; Hayet Merabet ; Pierre Druilhet 等
期刊名称：Electronic Journal of Applied Statistical Analysis
电子版ISSN：2070-5948
出版年度：2020
卷号：13
期号：1
页码：268-283
DOI：10.1285/i20705948v13n1p268
出版社：University of Salento
摘要：We consider Bayesian prediction modelling to evaluate a satisfaction index after a first phase of experiment in order to decide to stop or continue at the second stage. We apply this method to Poisson and Gamma distributed outcomes in many fields such as reliability or survival analysis for early termination due to either futility or efficacy. We look at two kinds of decisions making: an hybrid Bayesian-frequentist or a full Bayesian approach.
关键词：Bayesian predictive distribution;satisfaction indices;two-stage sequential analysis;experimental trials;Poison and Gamma outcomes.