JSM 2003 Online Program

Abstract #301942

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Activity Number:	450
Type:	Contributed
Date/Time:	Thursday, August 7, 2003 : 8:30 AM to 10:20 AM
Sponsor:	Biometrics Section
Abstract - #301942
Title:	An Empirical Likelihood Method for Nonignorable Missing Data
Author(s):	Gong Tang*+
Companies:	University of Pittsburgh
Address:	307 Parran Hall, Pittsburgh, PA, 15261-0001,
Keywords:	nonignorable nonresponse ; missing data ; pseudolikelihood ; empirical likelihood
Abstract:	Empirical likelihoods have been used to nonparametric estimation in finite population and further developed on general estimating equations to provide likelihood statistics (Owen 1988; Qin & Lawless 1994). For nonresponse data where the response mechanism depends on the underlying value of response, a pseudolikelihood method yields valid inference and avoids specifying the mechanism (Tang, Little & Taghunathan 2003). An empirical likelihood method is applied to resulting estimating equations. The property of estimator is discussed.

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