Empirical Bayes estimation of rates in longitudinal studies

Siu Hui, James O. Berger

Research output: Contribution to journalArticle

88 Citations (Scopus)

Abstract

The usually irregular follow-up intervals in epidemiologic studies preclude the use of classical growth curve analysis. For short follow-up intervals, it is suggested that individual rates of change are useful for exploratory analysis. Empirical Bayes estimates of these rates of change are recommended and developed. An example of bone loss with age in women is also given.

Original languageEnglish (US)
Pages (from-to)753-760
Number of pages8
JournalJournal of the American Statistical Association
Volume78
Issue number384
DOIs
StatePublished - 1983

Fingerprint

Empirical Bayes Estimation
Rate of change
Longitudinal Study
Bayes Estimate
Exploratory Analysis
Growth Curve
Interval
Empirical Bayes
Bone
Irregular
Longitudinal study
Growth curve

Keywords

  • Empirical Bayes estimates
  • Growth curves
  • Irregular follow-up
  • Repeated measurements

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

Empirical Bayes estimation of rates in longitudinal studies. / Hui, Siu; Berger, James O.

In: Journal of the American Statistical Association, Vol. 78, No. 384, 1983, p. 753-760.

Research output: Contribution to journalArticle

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