Bayesian prediction for two-stage sequential analysis in clinical trials

被引：3

作者：

Merabet, Hayet ^{[1
]}

Labdaoui, Ahlam ^{[1
]}

Druilhet, Pierre ^{[2
]}

机构：

[1] Univ Constantine 1, Dept Math, Lab Appl Math & Modeling, Constantine, Algeria

[2] Univ Blaise Pascal, Dept Math, Lab UMR, Clermont Ferrand, France

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2017年 / 46卷 / 19期

关键词：

Bayesian analysis; clinical trials; predictive approach; sequential analysis; DESIGN;

D O I：

10.1080/03610926.2016.1222438

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This article deals with a Bayesian predictive approach for two-stage sequential analyses in clinical trials, applied to both frequentist and Bayesian tests. We propose to make a predictive inference based on the notion of satisfaction index and the data accrued so far together with future data. The computations and the simulation results concern an inferential problem, related to the binomial model.

引用

页码：9807 / 9816

页数：10

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