Adjusting for multiple testing when reporting research results: The Bonferroni vs Holm methods

M. Aickin and H. Gensler

American Journal of Public Health, 1996, vol. 86, issue 5, 726-728

Abstract: 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 Holm's method is presented in order to promote the method's use in public health research.

Date: 1996
References: Add references at CitEc
Citations: View citations in EconPapers (25)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aph:ajpbhl:1996:86:5:726-728_4

Access Statistics for this article

American Journal of Public Health is currently edited by Alfredo Morabia

More articles in American Journal of Public Health from American Public Health Association
Bibliographic data for series maintained by Christopher F Baum ().