Other method for adjustment of multiple testing exists

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Mikel Aickin, Senior investigator

Center for Health Research, Portland, OR 97227, United States

EDITOR—Perneger's paper on Bonferroni adjustments consists almost entirely of errors.1 He states that the Bonferroni adjustments are concerned with the wrong hypothesis and that the two groups are identical on all 20variables (the universal null hypothesis). This misses the main point of multiple test adjustments.

Similarly he says, “If one or more of the 20P values is less than 0.00256…we can say that the two groups are not equal for all 20variables, but …