JSM 2004 Online Program

Abstract #301042

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Activity Number:	222
Type:	Contributed
Date/Time:	Tuesday, August 10, 2004 : 10:30 AM to 12:20 PM
Sponsor:	Biometrics Section
Abstract - #301042
Title:	Conditional Growth Charts
Author(s):	Ying Wei*+
Companies:	University of Illinois, Urbana-Champaign
Address:	Dept. of Statistics, 101 Illinois Hall, Champaign, IL, 61820,
Keywords:	growth charts ; longitudinal model ; quantile regression
Abstract:	The reference growth charts are widely used to screen measurements of individual subjects in the context of population values. Most of the growth charts in use are generated from cross-sectional data and relied on some form of normality in the models. We propose to construct conditional growth charts based on longitudinal quantile regression models, which allows screening of individuals based on their prior growth paths and other useful covariates. No distributional assumptions need to be made with this approach. Examples will be given to illustrate the difference between conditional and unconditional growth charts.

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