BMJ 1999;318:600 ( 27 February )

Letters

Multiple test procedures other than Bonferroni's deserve wider use

The first 150 words of the full text of this article appear below.

EDITOR---Recently, Perneger tried to establish that adjustments for multiple testing are unnecessary.1 However, the main arguments against multiplicity adjustments are based on misunderstanding of and a lack of knowledge about simultaneous statistical inference.

Firstly, Perneger equated multiple test adjustments with Bonferroni corrections. The Bonferroni procedure ignores dependencies among the data and is therefore much too conservative if the number of tests is large.2 Hence, we agree with Perneger that the Bonferroni method should not be routinely used. This is, however, no argument against the use of multiplicity adjustments in general, as there are several alternative multiple test procedures which were totally ignored by Perneger.3

Secondly, Perneger argued that multiple test adjustments are concerned only with the global null hypothesis that all individual null hypotheses are true simultaneously. This is not true. The best multiple test procedures control the multiple level (also called experimentwise error rate in the strong . . . [Full text of this article]


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Relevant Article

What's wrong with Bonferroni adjustments
Thomas V Perneger
BMJ 1998 316: 1236-1238. [Extract] [Full Text]




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