Literature DB >> 10985230

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

M Horn1, R Vollandt, C W Dunnett.   

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.

Mesh:

Year:  2000        PMID: 10985230     DOI: 10.1111/j.0006-341x.2000.00879.x

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


  2 in total

1.  Generalized Confidence Intervals Compatible with the Min Test for Simultaneous Comparisons of One Subpopulation to Several Other Subpopulations.

Authors:  Julia N Soulakova
Journal:  Commun Stat Theory Methods       Date:  2017-06-07       Impact factor: 0.893

2.  Dose sparing and the lack of a dose-response relationship with an influenza vaccine in adult and elderly patients - a randomized, double-blind clinical trial.

Authors:  Zoltan Vajo; Gergely Balaton; Peter Vajo; Laszlo Kalabay; Adam Erdman; Peter Torzsa
Journal:  Br J Clin Pharmacol       Date:  2017-04-11       Impact factor: 4.335

  2 in total

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