Curve fitting for repeated measurements made at irregular time-points.

Research output: Contribution to journalArticle

19 Scopus citations

Abstract

In longitudinal studies of human populations, it is often not feasible to measure all subjects at the same time-points. This precludes the use of classical methods of curve fitting for repeated measurements. When the total interval of follow-up is short for all subjects in the study, an intraclass correlation matrix is assumed for the measurements on each subject. An estimation procedure based on iteratively reweighted least squares is described. The model is then generalized to incorporate covariables, with little modification in the estimation procedure. The proposed method is applied to data from a longitudinal study of bone mass in postmenopausal women.

Original languageEnglish (US)
Pages (from-to)691-697
Number of pages7
JournalBiometrics
Volume40
Issue number3
DOIs
StatePublished - Sep 1984
Externally publishedYes

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 'Curve fitting for repeated measurements made at irregular time-points.'. Together they form a unique fingerprint.

  • Cite this