CALCULATING AVERAGE POWER FOR THE BENJAMINI-HOCHBERG PROCEDURE.
Using exact, analytic results for the average power of the Benjamini-Hochberg (1995) procedure, we provide example power analyses useful for scientists planning studies involving multiple comparisons. The power results are based on the distribution of the p-value under the alternative for the Pearson's χ2, and for the Hotelling-Lawley trace, the Wilks' lambda, and the Pillai-Bartlett trace, all tests for the general linear multivariate model. Detailed example power analyses are given for a planned mammography experiment with categorical data and a study that tests the association of a single nucleotide polymorphism with insulin resistance and visceral adiposity.
Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver; A portion of the work reported here was completed in partial fulfillment of the requirements for the Masters degree in Biostatistics from the University of Colorado Denver.
William J
WJ
Feser
Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver.
Tasha E
TE
Fingerlin
Division of Biostatistics, National Jewish Health.
Matthew J
MJ
Strand
Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver.
Deborah H
DH
Glueck
Power; multiple comparisons