Increase in power through multivariate analyses

Stephanie Schmitz, Stacey S. Cherny, David W. Fulker

Research output: Contribution to journalArticlepeer-review

Abstract

Power to detect genetic and environmental influences increases not only with sample size but also with the number of measurements through longitudinal and/or multivariate designs, if those measurements correlate with each other. Power simulations are presented for uni- through quadrivariate cases, with differing genetic and environmental parameters. Even though subject attrition is a problem for most longitudinal studies, the gain in power available may more than make up for this shortcoming in many situations. In terms of planning studies to examine genetic and environmental influences, power calculations should not only consider sample size but number of measurements on particular phenotypes and their intercorrelations.

Original languageEnglish
Pages (from-to)357-363
Number of pages7
JournalBehavior Genetics
Volume28
Issue number5
DOIs
StatePublished - 1998
Externally publishedYes

Keywords

  • Multivariate analyses
  • Power simulations
  • Statistical power

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