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Two Dependent Diagnostic Tests: Use of Copula Functions in the Estimation of the Prevalence and Performance Test Parameters

In this paper, we introduce a Bayesian analysis to estimate the prevalence and performance test parameters of two diagnostic tests. We concentrated our interest in studies where the individuals with negative outcomes in both tests are not verified by a gold standard. Given that the screening tests a...

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Detalles Bibliográficos
Publicado en:Revista Colombiana de Estadística
Autores principales: José Rafael Tovar, Jorge Alberto Achcar
Formato: Artigo
Lenguaje:Inglês
Publicado: Universidad Nacional de Colombia 2012
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Acceso en línea:https://www.redalyc.org/articulo.oa?id=89925367010
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