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Discussion of “Optimal test procedures for multiple hypotheses controlling the familywise expected loss” by Willi Maurer, Frank Bretz, and Xiaolei Xun

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  • L.M. LaVange
  • E.M. Alt
  • J.G. Ibrahim

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.

Suggested Citation

  • L.M. LaVange & E.M. Alt & J.G. Ibrahim, 2023. "Discussion of “Optimal test procedures for multiple hypotheses controlling the familywise expected loss” by Willi Maurer, Frank Bretz, and Xiaolei Xun," Biometrics, The International Biometric Society, vol. 79(4), pages 2802-2805, December.
    • Handle: RePEc:bla:biomet:v:79:y:2023:i:4:p:2802-2805
    DOI: 10.1111/biom.13910
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    References listed on IDEAS

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    1. Ming-Hui Chen & Joseph G. Ibrahim & Peter Lam & Alan Yu & Yuanye Zhang, 2011. "Bayesian Design of Noninferiority Trials for Medical Devices Using Historical Data," Biometrics, The International Biometric Society, vol. 67(3), pages 1163-1170, September.
    2. Ming-Hui Chen & Joseph G. Ibrahim & Donglin Zeng & Kuolung Hu & Catherine Jia, 2014. "Bayesian design of superiority clinical trials for recurrent events data with applications to bleeding and transfusion events in myelodyplastic syndrome," Biometrics, The International Biometric Society, vol. 70(4), pages 1003-1013, December.
    3. Joseph G. Ibrahim & Ming-Hui Chen & H. Amy Xia & Thomas Liu, 2012. "Bayesian Meta-Experimental Design: Evaluating Cardiovascular Risk in New Antidiabetic Therapies to Treat Type 2 Diabetes," Biometrics, The International Biometric Society, vol. 68(2), pages 578-586, June.
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