Abstract #300759

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JSM 2002 Abstract #300759
Activity Number: 403
Type: Contributed
Date/Time: Thursday, August 15, 2002 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Stat. Sciences*
Abstract - #300759
Title: Analysis of Growth Curves via Mixtures
Author(s): Ori Rosen*+ and Ayala Cohen
Affiliation(s): University of Pittsburgh and Technion-Israel Institute of Technology
Address: 2702 Cathedral of Learning, Pittsburgh, Pennsylvania, 15260, U.S.A.
Keywords: Growth Curves ; Mixtures-of-Experts
Abstract:

In this paper we analyze a large collection of growth curves of male and female infants consisting of height measurements as a function of age. We propose a two-stage model consisting of first fitting the individual growth curves and then estimating the population parameters via a mixed effects model. In the first stage, we use mixtures-of-experts, originally introduced in the neural network literature. This model does not assume a specific shape for the growth curves and is thus more flexible than standard models.

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