Sample sizes in the multivariate analysis of repeated measurements.

E. F. Vonesh*, M. A. Schork

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

Determination of sample sizes for comparing two or more treatments in repeated measurements experiments is considered. Multivariate normality of the individual's vector of repeated measures is assumed. Particular emphasis is placed on applications wherein the error variance-covariance matrix is arbitrary positive-definite. Sample size determination is based on power considerations associated with Hotelling's T2 test and the desire to detect a specified difference between any pair of treatment means. Tabulated sample sizes are given in the case of an equal variance-unequal covariance structure. The utility of these sample sizes is also demonstrated for a more general variance-covariance structure. Applications of these sample sizes are illustrated with two examples.

Original languageEnglish (US)
Pages (from-to)601-610
Number of pages10
JournalBiometrics
Volume42
Issue number3
DOIs
StatePublished - Sep 1986

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Sample sizes in the multivariate analysis of repeated measurements.'. Together they form a unique fingerprint.

Cite this