title: Sample size determination for testing whether an identified treatment is best.
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.
authors.affiliation: Institute of Medical Epidemiology, Biometry, and Medical Computer Sciences, Martin Luther University Halle-Wittenberg, Germany. horn@imsid.uni-jena.de
authors.forename: M
authors.initials: M
authors.lastname: Horn
authors.forename: R
authors.initials: R
authors.lastname: Vollandt
authors.forename: C W
authors.initials: CW
authors.lastname: Dunnett
mesh_terms: D001699:Biometry / Q000379:methods; D002986:Clinical Trials as Topic; D006801:Humans; D015233:Models, Statistical; D015203:Reproducibility of Results; D018401:Sample Size; D018709:Statistics, Nonparametric