JSM 2003 Online Program

Abstract #300688

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Activity Number:	357
Type:	Topic Contributed
Date/Time:	Wednesday, August 6, 2003 : 10:30 AM to 12:20 PM
Sponsor:	ENAR
Abstract - #300688
Title:	Estimation in Partially Linear Models with Missing Covariates
Author(s):	Hua Liang*+
Companies:	St. Jude Children's Research Hospital
Address:	Dept. of Biostatistics, Memphis, TN, 38105-2729,
Keywords:	partially linear models ; missing at random ; efficient score ; AIDS clinical study ; estimating equation ; Horvitz-Thompson weight
Abstract:	The partially linear model has been studied extensively when data are completely observed. We consider the case that the linear covariate is sometimes missing, with MAR missingness. New methods are developed for estimating the parameter and nonparameter. Our methods are shown to outperform asymptotically methods based only on the complete data. Asymptotic efficiency is discussed. The proposed estimators are applied to analyze an AIDS clinical data. The results of a simulation experiment are also given to illustrate our approach.

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