JSM 2005 Online Program

Abstract #303329

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	194
Type:	Contributed
Date/Time:	Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Section on Health Policy Statistics
Abstract - #303329
Title:	GEE Diagnostics for Marginal Association Models
Author(s):	John S. Preisser*+
Companies:	University of North Carolina, Chapel Hill
Address:	Department of Biostatistics, CB # 7420, Chapel Hill, NC, 27599-7420,
Keywords:	cluster trial ; influence ; intracluster correlation ; logit models ; sandwich estimators
Abstract:	Regression diagnostics are considered for parameters in marginal association models for clustered binary outcomes estimated with an implementation of generalized estimating equations that specify estimating functions for the intracluster correlation and the marginal mean model. Computational formulae for one-step deletion diagnostics are introduced that measure the influence of a cluster of observations on the estimated regression parameters and on the estimated linear predictor. The diagnostics extend earlier work on GEE diagnostics for parameters in the marginal mean model. The diagnostics are applied to data from a nonrandomized community trial to reduce underage drinking with the aim of assessing the influence of a cluster of observations corresponding to a community on intracluster correlation estimates for any alcohol use in the past 30 days. Connections are made between the regression diagnostics and a bias-corrected sandwich variance estimator.

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