Your browser doesn't support javascript.
loading
Discussion of "Optimal test procedures for multiple hypotheses controlling the familywise expected loss" by Willi Maurer, Frank Bretz, and Xiaolei Xun.
LaVange, L M; Alt, E M; Ibrahim, J G.
Afiliación
  • LaVange LM; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Alt EM; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Ibrahim JG; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Biometrics ; 79(4): 2802-2805, 2023 12.
Article en En | MEDLINE | ID: mdl-37488695
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proyectos de Investigación Tipo de estudio: Prognostic_studies Idioma: En Revista: Biometrics Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proyectos de Investigación Tipo de estudio: Prognostic_studies Idioma: En Revista: Biometrics Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos