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Sample Size Determination for Testing Whether an Identified Treatment Is Best
Author(s) -
Horn Manfred,
Vollandt Rudiger,
Dunnett Charles W.
Publication year - 2000
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2000.00879.x
Subject(s) - normality , sample size determination , statistics , wilcoxon signed rank test , biometrics , mathematics , mann–whitney u test , sample (material) , normality test , statistical hypothesis testing , computer science , artificial intelligence , chemistry , chromatography
Summary. 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 ≥ 2 when t ‐tests under normality or Wilcoxon–Mann–Whitney tests under general distribution assumptions are used.