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Cited by 235

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Empirical Bayes Estimation of Individual Growth-Curve Parameters and Their Relationship to Covariates

Strenio, Judith F., Weisberg, Herbert I., Bryk, Anthony S.·1983·Biometrics

Abstract

The analysis of growth curves has long been important in biostatistics. Work has focused on two problems: the estimation of individual curves based on many data points, and the estimation of the mean growth curve for a group of individuals. This paper extends a recent approach that seeks to combine data from a group of individuals in order to improve the estimates of individual growth parameters. Growth is modeled as polynomial in time, and the group model is also linear, incorporating growth-related covariates into the model. The estimation used is empirical Bayes. The estimation formulas are illustrated with a set of data on rat growth, originally presented by Box (1950, Biometrics 6, 362-389).

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Metadata

Authors
Strenio, J. F., Weisberg, H. I., & Bryk, A. S.
Venue
Biometrics
Publisher
JSTOR
Published
1983-03
Volume
39
Issue
1
Pages
71
ISSN
0006-341X (ISSN-L)
OpenAlex
W1973180707
Cited by
235
References
1
FWCI
5.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Empirical Bayes Estimation of Individual Growth-Curve Parameters and Their Relationship to Covariates. https://app.cochat.ai/papers/10.2307/2530808
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Strenio, J. F., Weisberg, H. I., & Bryk, A. S. (1983). Empirical Bayes Estimation of Individual Growth-Curve Parameters and Their Relationship to Covariates. Biometrics. https://doi.org/10.2307/2530808

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