Discussion of “Optimal Test Procedures for Multiple Hypotheses Controlling the Familywise Expected Loss” by Willi Maurer, Frank Bretz, and Xiaolei Xun
Year: 2023
Type: editorial
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.
Source: Biometrics
DOI: 10.1111/biom.13910
Authors: L.M. LaVange, E.M. Alt, J.G. Ibrahim
Institution: University of North Carolina at Chapel Hill
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4385231177