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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| Pubblicato in: | Revista Colombiana de Estadística |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Universidad Nacional de Colombia
2012
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| Soggetti: | |
| Accesso online: | https://www.redalyc.org/articulo.oa?id=89925367010 |
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