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Q value vs Bonferroni correction for multiple comparisons[Note: this message will be posted on Evoldir, Ecolog-L, and the popbiol
listervs, and I apologize in advance if you get multiple copies. I will post summaries of replies to all three lists.] I am try to get a sense of whether a consensus is developing among evolutionary and population biologists on the use of the "false discovery rate" (Q-value) in multiple comparisons instead of the various forms of the Bonferroni correction. Since Rice's 1989 paper (Evolution 43:223), the Bonferroni correction has been widely used for adjusting the significance level of multiple comparisons to minimize type I errors. In fact, in some fields, as I have learned the hard way, it has become a virtual requirement for publication. But with these corrections, the power of the analyses are lowered, perhaps artificially and unnecessarily, and some biologists have argued that they probably should not be used (e.g. Moran,2003; Oikos 100:443). My own work often involves large numbers of comparisons of gene frequencies by chi-square or related statistics, to evaluate the significance of allelic frequency differences among populations or the potential reality of linkage disequilibrium detected by programs like LinkDos. I have used the Bonferroni correction in the past, but often with the feeling that I was throwing many babies out with the bathwater, especially with preliminary surveys, which are often "fishing expeditions." It seems to me that use of the Q value instead of the Bonferroni correction could restore a great deal of power to multiple comparisons. [see Verhoeven et al., 2005; Oikos 108:643 for a discussion and review of literature]. Yet I see relatively few papers, particularly in population genetics, that use the Q value, and many that still use the Bonferroni correction. Of course, this apparent delay could simply reflect the fact that most papers that are in the curent issues of journals were submitted around a year ago or more. Or it could simply stem from the conservatism of research communities (including referees of journal articles) that don't spend a lot of time worrying about type I vs type II errors. I cordially invite comment from anyone who has a viewpoint or experience with this issue. Bruce J. Turner Dept. Biol. Sci. VPISU Blacksburg, VA 24061 (540)-231-7444 (V) (540)-231-9307 (F) _______________________________________________ Pop-bio mailing list Pop-bio@... http://www.bio.net/biomail/listinfo/pop-bio |
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