Subgroup Optimal Decisions in Cost–Effectiveness Analysis
international symposium on distributed computing(2018)
摘要
In cost–effectiveness analysis (CEA) of medical treatments the optimal treatment is chosen using an statistical model of the cost and effectiveness of the treatments, and data from patients under the treatments. Sometimes these data also include values of certain deterministic covariates of the patients which usually have valuable clinical information that would be incorporated into the statistical treatment selection procedure. This paper discusses the usual statistical models to undertake this task, and the main statistical problems it involves.
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关键词
Cost–effectiveness, Bayesian variable selection, Optimal treatments
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