What's wrong with Bonferroni adjustments
What's wrong with Bonferroni adjustments
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DOI：
10.1136/bmj.316.7139.1236
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发表时间：
1998-04-18
影响因子：
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通讯作者：
Perneger, TV
中科院分区：
文献类型：
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作者：
Perneger, TV
当在分析临床研究数据时进行多个统计检验时，一些统计学家和期刊编辑要求使用比传统P< 0.05更严格的“统计学显著性”标准。[1]许多善意的研究者，渴望方法的严谨性，在没有完全掌握利害关系的情况下就顺从了。最近，多重检验的调整（或Bonferroni调整）已经进入了医学统计学的介绍性文本，这增加了它们的明显合法性。本文提出流行病学家普遍认为，邦弗罗尼调整，在最好的情况下，不必要的，在最坏的情况下，有害的声音统计推断。
When more than one statistical test is performed in analysing the data from a clinical study, some statisticians and journal editors demand that a more stringent criterion be used for “statistical significance” than the conventional P< 0.05. 1 Many well meaning researchers, eager for methodological rigour, comply without fully grasping what is at stake. Recently, adjustments for multiple tests (or Bonferroni adjustments) have found their way into introductory texts on medical statistics, which has increased their apparent legitimacy. This paper advances the view, widely held by epidemiologists, that Bonferroni adjustments are, at best, unnecessary and, at worst, deleterious to sound statistical inference.