An approximate likelihood ratio test for a normal mean vector with nonnegative components with application to clinical trials Journal Article


Authors: Tang, D. I.; Gnecco, C.; Geller, N. L.
Article Title: An approximate likelihood ratio test for a normal mean vector with nonnegative components with application to clinical trials
Abstract: A new multivariate statistic, designed to be sensitive to the alternative hypothesis that a mean vector lies in the positive orthant, rather than to all alternatives or to alternatives on a line (O'Brien, 1984), is proposed. The statistic is shown to approximate the likelihood ratio test statistic for such alternatives (Kudô, 1963; Perlman, 1969). Its null distribution is a special case of the chi-bar-squared distribution, which allows critical values to be obtained. Such a statistic may be used in two-armed clinical trials where we are interested in showing that one treatment is better than another with respect to several responses. As an example, a clinical trial is reanalyzed, with stronger conclusions than had been drawn originally. © 1989 Biometrika Trust.
Keywords: multivariate analysis; clinical trial design; multiplicity; multiple endpoints; multiple response; o'brien's statistic; one-sided alternative
Journal Title: Biometrika
Volume: 76
Issue: 3
ISSN: 0006-3444
Publisher: Oxford University Press  
Date Published: 1989-09-01
Start Page: 577
End Page: 583
Language: English
DOI: 10.1093/biomet/76.3.577
PROVIDER: scopus
DOI/URL:
Notes: Article -- Export Date: 14 April 2020 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Nancy L. Geller
    65 Geller