临床试验中多重性问题的统计方法

Japanese journal of biometrics Pub Date : 2008-07-01 DOI:10.5691/JJB.29.S15

T. Morikawa

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引用次数: 1

摘要

本文讨论了临床试验中出现的各种多样性问题以及解决这些问题的可能的统计方法。我们特别强调封闭测试程序(ctp)在临床试验设置中的重要性:它们包括各种修改的Bonferroni程序，例如，降压Dunnett程序，分层程序和Williams测试。此外，它们甚至可以应用于临床试验中的适应性设计。我们将详细说明基本的CTP过程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Statistical Approaches to Multiplicity Issues in Clinical Trials

This paper discusses various multiplicity issues arisen in clinical trials and possible statistical approaches to these issues. We especially stress the importance of the closed testing procedures (CTPs) in the setting of clinical trials: They include various modified Bonferroni procedures, e.g., step-down Dunnett procedure, hierarchical procedure, and Williams test. Moreover they can be even applied to adaptive designs in clinical trials. We illustrate the basic CTP procedures in detail.

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Japanese journal of biometrics

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