JSM Preliminary Online Program
This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 106
Type: Contributed
Date/Time: Monday, July 30, 2007 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract - #308512
Title: The Inclusion of Covariate Information in a Random Effects Agreement Model
Author(s): Kerrie Nelson*+ and Don Edwards
Companies: University of South Carolina and University of South Carolina
Address: Dept of Statistics, Columbia, SC, 29208,
Keywords: agreement ; generalized linear mixed model ; kappa
Abstract:

When modeling agreement between two or more raters, it can be informative to identify factors which may influence the agreement process under study. For example, in the classification of a mammogram for the presence/absence of breast cancer, knowledge of the clinical history of the woman may impact the classification made by a rater, and in the agreement between a number of raters. In this talk, we describe how to include relevant covariate information in a random effects model for agreement, when binary classifications are of interest, and how a proposed model-based summary statistic can be used to assess the levels of agreement between raters in such a setting.

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Revised September, 2007