Literature DB >> 15032799

A note on one-sided tests with multiple endpoints.

Michael D Perlman1, Lang Wu.   

Abstract

Testing problems with multivariate one-sided alternative hypotheses are common in clinical trials with multiple endpoints. In the case of comparing two treatments, treatment 1 is often preferred if it is superior for at least one of the endpoints and not biologically inferior for the remaining endpoints. Bloch et al. (2001, Biometrics57, 1039-1047) propose an intersection-union test (IUT) for this testing problem, but their test does not utilize the appropriate multivariate one-sided test. In this note we modify their test by an alternative IUT that does utilize the appropriate one-sided test. Empirical and graphical evidence show that the proposed test is more appropriate for this testing problem.

Mesh:

Year:  2004        PMID: 15032799     DOI: 10.1111/j.0006-341X.2004.00159.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  4 in total

1.  Statistical methods for down-selection of treatment regimens based on multiple endpoints, with application to HIV vaccine trials.

Authors:  Ying Huang; Peter B Gilbert; Rong Fu; Holly Janes
Journal:  Biostatistics       Date:  2017-04-01       Impact factor: 5.899

2.  Multiple hypotheses testing procedures in clinical trials and genomic studies.

Authors:  Qing Pan
Journal:  Front Public Health       Date:  2013-12-09

3.  Applications of the Wei-Lachin multivariate one-sided test for multiple outcomes on possibly different scales.

Authors:  John M Lachin
Journal:  PLoS One       Date:  2014-10-17       Impact factor: 3.240

4.  Methods for Feature Selection in Down-Selection of Vaccine Regimens Based on Multivariate Immune Response Endpoints.

Authors:  Ying Huang; Aliasghar Tarkhan
Journal:  Stat Biosci       Date:  2020-04-15
  4 in total

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