An approach to the analysis of repeated measurements

P. J. Diggle

Research output: Contribution to journalArticlepeer-review

Abstract

A linear model for repeated measurements is proposed in which the correlation structure within each time sequence of measurements includes parameters for measurement error, variation between experimental units, and serial correlation within units. An approach to data analysis is presented which involves preliminary analysis by ordinary least squares, use of the empirical semi-variogram of residuals to suggest a suitable correlation structure, and formal inference using likelihood-based methods. Applications to two biological data sets are described.

Original languageEnglish (US)
Pages (from-to)959-971
Number of pages13
JournalBiometrics
Volume44
Issue number4
StatePublished - 1988
Externally publishedYes

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Agricultural and Biological Sciences (miscellaneous)
  • Applied Mathematics
  • Statistics and Probability
  • Public Health, Environmental and Occupational Health

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