Resampling-Based Multiple Testing : Examples and Methods for p-Value Adjustment (Wiley Series in Probability and Statistics)

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Summary: How to do p-value adjustment the resampling way
Review: Bootstrap methods have provided new theoretical and practical advances over the past 20 years. These authors convincingly argue the need to make p-value adjustments in multiple testing situations. They have written their own SAS program that allows the option of using bootstrap and permutation methods to compare with the more classical Bonferroni and Sidak bounds. Their program has been incorporated into a SAS/STAT procedure called PROC MULTTEST. I have found the program to be very useful in my medical device problems, particularly in the analysis of clinical studies. One such application is include in my book "Bootstrap Methods: A Practitioner's Guide." Westfall and Young have written an excellent book which serves as a very worthwhile reference book.