Empirical Bayes estimation of rates in longitudinal studies


Journal Article

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. © 1983 Taylor & Francis Group, LLC.

Full Text

Duke Authors

Cited Authors

  • Hui, SL; Berger, JO

Published Date

  • January 1, 1983

Published In

Volume / Issue

  • 78 / 384

Start / End Page

  • 753 - 760

Electronic International Standard Serial Number (EISSN)

  • 1537-274X

International Standard Serial Number (ISSN)

  • 0162-1459

Digital Object Identifier (DOI)

  • 10.1080/01621459.1983.10477015

Citation Source

  • Scopus