Analysis of correlated series of repeated measurements: application to challenge data

B. Engel, K. van Reenen, W.G. Buist

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)

Abstract

Data from an ACTH challenge experiment with veal calves, two short time series of cortisol measurements per animal at 6 and 27 weeks of age, are analysed. Interest is focussed on variation in cortisol profiles both within and between animals. Potential effects of an animals diet and housing system on the profiles are addressed as well. Fully parametric and semi-parametric models, combining individual random effects with effects of diet and housing, were fitted using (approximate) restricted maximum likelihood (employing Laplacian integration). Eigenfunctions were utilized to describe the variation between profiles and the connection between profiles of the same individual. All calculations were performed with standard software. Results of the analysis provides empirical support for the existence of stable individual characteristics mediating reactivity of the adrenal cortex.
Original languageEnglish
Pages (from-to)866-886
JournalBiometrical Journal
Volume45
Issue number7
DOIs
Publication statusPublished - 2003

Keywords

  • mixed effects models
  • longitudinal data
  • smoothing spline
  • maximum-likelihood
  • information
  • inference
  • parameter
  • variance
  • growth
  • curves

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