Abstract #301601

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JSM 2003 Abstract #301601
Activity Number: 92
Type: Contributed
Date/Time: Monday, August 4, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #301601
Title: Weighted Generalized Estimating Equations Approach for Evaluation of Medical Diagnostic Tests
Author(s): Carol Yen-Chin Lin*+ and Huiman X. Barnhart and Andrzej S. Kosinski
Companies: Emory University and Emory University and Emory University
Address: 6 Vivian Lane, Atlanta, GA, 30305,
Keywords: diagnostic test ; weighted generalized estimating equation ; verification bias
Abstract:

When disease occurs at the subunit (e.g., vessels, segments, ears, eyes) level, it is important to administrate and evaluate medical diagnostic test at the subunit level rather than at the patient level. When a medical diagnostic test is compared with the gold standard test, verification bias can occur when not all patients receive a gold standard test. To account for both for correlation among subunits and verification bias, we present weighted generalized estimating equations approach to assess the performance of the medical diagnostic test. A simulation study was conducted to evaluate the consistency and efficiency of the parameter estimates, Type I error rate, and the power of hypothesis test using the weighted generalized estimating equations approach. These results were compared to the weighted least squares approach.

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