JSM 2003 Online Program

Abstract #300145

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Activity Number:	454
Type:	Contributed
Date/Time:	Thursday, August 7, 2003 : 8:30 AM to 10:20 AM
Sponsor:	Biopharmaceutical Section
Abstract - #300145
Title:	Nonparametric and Generalized Nonpararmetric Mixed-Effect Models
Author(s):	Ping Ma*+
Companies:	Purdue University
Address:	Dept. of Statistics, West Lafayette, IN, 47907,
Keywords:	correlated error ; overdispersion ; mixed-effect model ; longitudinal data ; generalized cross-validation ; smoothing spline
Abstract:	Mixed-effect models are widely used for the analysis of correlated and overdispersed data. We study an approach to the nonparametric estimation of mixed-effect models. We consider models with parametric random effects and flexible fixed effects and employ the penalized joint likelihood method to estimate the models. The issue to be addressed is the selection of smoothing parameters through some data driven methods, which is shown to yield optimal smoothing. Simulation studies are conducted to investigate the empirical performance in the context.

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