Empirical Bayes estimation of rates in longitudinal studies

Siu L. Hui, James O. Berger

Research output: Contribution to journalArticle

88 Scopus citations


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
Issue number384
StatePublished - Dec 1983


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

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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