Comparison of Bayesian and frequentist methods for prevalence estimation under misclassification

BACKGROUND: Various methods exist for statistical inference about a prevalence that consider misclassifications due to an imperfect diagnostic test. However, traditional methods are known to suffer from truncation of the prevalence estimate and the confidence intervals constructed around the point e...

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Detalles Bibliográficos
Autores principales: Flor, Matthias, Weiß, Michael, Selhorst, Thomas, Müller-Graf, Christine, Greiner, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370479/
https://www.ncbi.nlm.nih.gov/pubmed/32689959
http://dx.doi.org/10.1186/s12889-020-09177-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370479/
https://www.ncbi.nlm.nih.gov/pubmed/32689959
http://dx.doi.org/10.1186/s12889-020-09177-4

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