Adjusting for multiple testing when reporting research results: The Bonferroni vs Holm methods
Adjusting for multiple testing when reporting research results: The Bonferroni vs Holm methods
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DOI：
10.2105/ajph.86.5.726
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发表时间：
1996-05-01
影响因子：
12.7
通讯作者：
Gensler, H
中科院分区：
文献类型：
--
作者：
Aickin, M;Gensler, H
公共卫生研究人员有时需要在报告结果时对多项测试进行调整，这降低了效应的明显意义，从而降低了统计能力。Bonferroni手术是最广泛推荐的方法，但另一种手术，即霍尔姆手术，更好。研究人员可能忽略了霍尔姆的程序，因为它是在假设检验拒绝方面，而不是在P值方面。为了推广Helm方法在公共卫生研究中的应用，提出了一种基于Helm方法的P值调整方法。
Public health researchers are sometimes required to make adjustments for multiple testing in reporting their results, which reduces the apparent significance of effects and thus reduces statistical power. The Bonferroni procedure is the most widely recommended way of doing this, but another procedure, that of Holm, is uniformly better. Researchers may have neglected Holm's procedure because it has been framed in terms of hypothesis test rejection rather than in terms of P values. An adjustment to P values based on Helm's method is presented in order to promote the method's use in public health research.