JSM 2004 Online Program

Abstract #300882

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Activity Number:	158
Type:	Contributed
Date/Time:	Monday, August 9, 2004 : 2:00 PM to 3:50 PM
Sponsor:	Section on Statistical Computing
Abstract - #300882
Title:	A Numerical Method for the MLE of an NLMM
Author(s):	Jing Wang*+
Companies:	North Carolina State University
Address:	2702 Vanderbilt Ave., Raleigh, NC, 27607,
Keywords:	NLMM ; MLE ; stochastic approximation ; importance sampling
Abstract:	Nonlinear mixed-effects models have received a great deal of attention in the statistical literature in recent years because of the flexibility they offer in handling the unbalanced repeated-measurements data that arise in different areas of investigation, such as pharmacokinetics. A numerical method involving a combination of stochastic approximation and importance sampling is proposed for the maximum likelihood estimation of the parameters in nonlinear mixed-effects models. Real data and simulation results have shown this method works well in most linear mixed-effects models and a few nonlinear mixed-effects models presented in the statistical literature.

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