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Sample size determination for testing whether an identified treatment is best.

Authors
Type
Published Article
Journal
Biometrics
Publication Date
Volume
56
Issue
3
Pages
879–881
Identifiers
PMID: 10985230
Source
Medline
License
Unknown

Abstract

Laska and Meisner (1989, Biometrics 45, 1139-1151) dealt with the problem of testing whether an identified treatment belonging to a set of k + 1 treatments is better than each of the other k treatments. They calculated sample size tables for k = 2 when using multiple t-tests or Wilcoxon-Mann-Whitney tests, both under normality assumptions. In this paper, we provide sample size formulas as well as tables for sample size determination for k > or = 2 when t-tests under normality or Wilcoxon-Mann-Whitney tests under general distribution assumptions are used.

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