Abstract #301744

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JSM 2002 Abstract #301744
Activity Number: 363
Type: Contributed
Date/Time: Wednesday, August 14, 2002 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section*
Abstract - #301744
Title: Functional-based Multi-level Models for Longitudinal Data
Author(s): Kiros Berhane*+
Affiliation(s): University of Southern California
Address: 1540 Alcazar Street, CHP-220, Los Angeles, California, 90089-9011, USA
Keywords: splines ; correlated data ; mixed effects ; growth curves ; smoothing ; functional data
Abstract:

Functional-based and flexible multi-level models are proposed for analysis of longitudinal data. These models allow for cluster-specific smooth estimates of growth curves, in either a generalized estimating equations or mixed-effects modeling format. Attention is then focused on models that examine between-cluster effects of an ecologic covariate of interest on important functionals. A unified estimation procedure will be presented along with its computational and theoretical details. The models will be illustrated via lung function data from the Southern California Children's Health Study.

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Revised March 2002