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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Autores:

Tipo de recurso:

Fecha de publicación:

2012

Institución:

Universidad del Rosario

Repositorio:

Repositorio EdocUR - U. Rosario

Idioma:

eng

OAI Identifier:

oai:repository.urosario.edu.co:10336/23012

Acceso en línea:

https://repository.urosario.edu.co/handle/10336/23012

Palabra clave:

Bayes analysis
Copula
Dependence
Monte carlo simulation
Public health

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