Empirical Bayes Estimation of Rates in Longitudinal Studies
Journal of the American Statistical AssociationPublished 1 December 1983
Siu L. Hui, James O. Berger
Citations118
SJR quartileQ1
SJR score4.10
SNIP3.08
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TL;DR
Empirical Bayes estimates of individual rates of change are recommended and developed for short follow-up intervals in epidemiologic studies and an example of bone loss with age in women is given.
Abstract
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. Key Words: Repeated measurementsGrowth curvesIrregular follow-upEmpirical Bayes estimates
Keywords
Mathematics
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