JSM 2003 Online Program

Abstract #302247

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Activity Number:	372
Type:	Contributed
Date/Time:	Wednesday, August 6, 2003 : 10:30 AM to 12:20 PM
Sponsor:	Biometrics Section
Abstract - #302247
Title:	Modeling Censored Observations with Incomplete Covariates
Author(s):	Sarah Baraniuk*+ and Michel Chavance
Companies:	INSERM and Inserm U472
Address:	1733 Wroxton Ct., Houston, TX, 77005-1717,
Keywords:	incomplete data ; multiple imputation ; rejection sampling
Abstract:	Incomplete covariates cause a loss of precision and can induce a selection bias. Survival models with incomplete covariates pose particular problems because of the censured response variable. The motivation for this work stems from a multicenter trial, the Delta trial, on HIV-infected patients assigned to two combination treatments. Viral load measurements were available for only a fraction of the centers. Thus the data can be assumed to be missing at random. The method constructed in this project involves multiple imputation of the value of an incomplete continuous covariate using a rejection sampling procedure.

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