JSM 2004 - Toronto

Abstract #300799

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Activity Number: 74
Type: Topic Contributed
Date/Time: Monday, August 9, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Bayesian Statistical Science
Abstract - #300799
Title: Generalized Mixed Nonlinear Model Using Penalized Splines
Author(s): Tapabrata Maiti*+
Companies: Iowa State University
Address: Dept. of Statistics, Ames, IA, 50011,
Keywords: mixed models ; penalized spline ; additive models
Abstract:

In generalized mixed linear models, its is assumed that the mean is a known function of a linear combination of covariates and random effects. Often this assumption is not valid. We propose a generalized mixed nonlinear model where this linear combination is replaced by the additive functions of covariates. In particular, we have used penalized spline to model the nonlinearity. The methodology is illustrated using a data from prostate cancer study.

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