Prior Precision, Prior Accuracy, and the Estimation of Disease Prevalence Using Imperfect Diagnostic Tests

Estimates of disease prevalence in any host population are complicated by uncertainty in the outcome of diagnostic tests on individuals. In the absence of gold standard diagnostics (tests that give neither false positives nor false negatives), Bayesian latent class inference can be applied to batter...

Descripción completa

Detalles Bibliográficos
Autores principales: McDonald, Jenni L., Hodgson, Dave James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Veterinary Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958675/
https://www.ncbi.nlm.nih.gov/pubmed/29868615
http://dx.doi.org/10.3389/fvets.2018.00083

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958675/
https://www.ncbi.nlm.nih.gov/pubmed/29868615
http://dx.doi.org/10.3389/fvets.2018.00083

Ejemplares similares