Intended for healthcare professionals


Other method for adjustment of multiple testing exists

BMJ 1999; 318 doi: (Published 09 January 1999) Cite this as: BMJ 1999;318:127
  1. Mikel Aickin, Senior investigator
  1. 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 …

    View Full Text

    Log in

    Log in through your institution


    * For online subscription