Title: Statistical Power of Modified Bonferroni Methods.
Abstract: Multiple-hypothesis testing in the context of a correlation matrix is used to compare the statistical power of the original Bonferroni with six modified Bonferroni procedures that control the overall Type I error rate. Three definitions of statistical power are considered: (1) the ability to detect at least one true relationship; (2) the ability to detect all true relationships; and (3) the average power to detect true relationships. Simulation results show no difference between the seven methods in detecting at least one true relationship, but all six modified Bonferroni procedures are more powerful than the original Bonferroni procedure for the detection of all-true-relationship power and average power. Among the six modified Bonferroni procedures, small differences were observed, with the Holm procedure having the lower power, and the Rom and the Holland-Copenhaver (step-up methods having the highest power. Included are 9 tables and 11 figures. (Contains 11 references.) (Author/SLD) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** U.S. DEPARTMENT OF EDUCATION CO ofitce ol Educauonai Research and Improvement 00 ED TIONAL RESOURCES INFORMATION CENTER (ERIC) 0 This document nes boon reproduced as Cv) mcsoaci I rom the person or orgaruzahon N. ongmattng n 00 C Monor changes nave bean made to improve raproduchon Quality Pornts of me« or oprnIons stated in INS docu ment 6o not necessarily represent othcrai OE RI poartron or pol,cy LU PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY S'oP474647Nori TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERICr Statistical Power of Modified Bonferroni Methods Suchada Supattathum Stephen Olejnik University of Georgia
Publication Year: 1994
Publication Date: 1994-04-01
Language: en
Type: article
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