Sample sizes for experiments with multivariate repeated measures.

X Guo, W D Johnson
Author Information
  1. X Guo: Department of Biometry and Genetics, Louisiana State University Medical Center, New Orleans 70112-1393, USA.

Abstract

Procedures for determining sample size in multivariate repeated measures experiments are discussed. The focus is on designs with either one group or two independent groups of subjects, the point of departure being multivariate repeated measures. Determination of the minimum sample size required is based on power considerations associated with Hotelling's T2 and the F-test. We first consider procedures for determining sample size assuming an arbitrary covariance matrix. The special case where we assume that the transformed data have a multivariate spherical covariance matrix is also considered. Tables of the minimum sample sizes required for several hypotheses from multivariate analysis are presented.

MeSH Term

Mathematical Computing
Multivariate Analysis
Statistics as Topic

Word Cloud

Created with Highcharts 10.0.0multivariatesamplesizerepeatedmeasuresdeterminingexperimentsminimumrequiredcovariancematrixsizesProceduresdiscussedfocusdesignseitheronegrouptwoindependentgroupssubjectspointdepartureDeterminationbasedpowerconsiderationsassociatedHotelling'sT2F-testfirstconsiderproceduresassumingarbitraryspecialcaseassumetransformeddatasphericalalsoconsideredTablesseveralhypothesesanalysispresentedSample

Similar Articles

Cited By