Abstract #300589

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JSM 2003 Abstract #300589
Activity Number: 129
Type: Contributed
Date/Time: Monday, August 4, 2003 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #300589
Title: Estimating Diagnostic Test Parameters from Longitudinal Data without a Gold Standard
Author(s): Huiyan Zhao*+ and Michael J. Daniels
Companies: Iowa State University and University of Florida
Address: 15 Schilletter Village Apt. 15A, Ames, IA, 50010-8715,
Keywords: Bayesian ; diagnostic tests ; gold standard ; hierarchical
Abstract:

We propose a Bayesian hierarchical model to estimate diagnostic test parameters and prevalences from test data collected at two time points without a gold standard. We consider both conditionally independent and dependent models. A simple Gibbs sampling algorithm is constructed to sample from the posterior distribution of the model parameters. Several statistics to compare models are proposed. We apply this model to two diagnostic tests for salmonella in swine.


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