Consistency-adjusted alpha allocation methods for a time-to-event analysis of composite endpoints

DOI10.1016/J.CSDA.2014.01.017zbMath1506.62153OpenAlexW2013336744MaRDI QIDQ1623485

M. Wirths, Geraldine Rauch, Meinhard Kieser

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2014.01.017

zbMATH Keywords

bootstrapclinical trialmultiple testingcomposite endpoint

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Paired and multiple comparisons; multiple testing (62J15)

Cites Work

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• A Monte-Carlo comparison of Studentized bootstrap and permutation tests for heteroscedastic two-sample problems
• Competing Risks and Multistate Models with R
• Testing Statistical Hypotheses of Equivalence and Noninferiority
• Multiparameter Hypothesis Testing and Acceptance Sampling
• On Testing Simultaneously Non‐inferiority in Two Multiple Primary Endpoints and Superiority in at Least One of Them

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