Affiliation:
1. Department of Biostatistics, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina , USA
Abstract
Abstract
We provide commentary on the paper by Willi Maurer, Frank Bretz, and Xiaolei Xun entitled, “Optimal test procedures for multiple hypotheses controlling for the familywise expected loss.” The authors provide an excellent discussion of the multiplicity problem in clinical trials and propose a novel approach based on a decision-theoretic framework that incorporates loss functions that can vary across multiple hypotheses in a family. We provide some considerations for the practical use of the authors' proposed methods as well as some alternative methods that may also be of interest in this setting.
Publisher
Oxford University Press (OUP)
Subject
Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability
Cited by
1 articles.
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