Estimating prevalence and test accuracy in disease ecology: How Bayesian latent class analysis can boost or bias imperfect test results

1. Obtaining accurate estimates of disease prevalence is crucial for the monitoring and management of wildlife populations but can be difficult if different diagnostic tests yield conflicting results and if the accuracy of each diagnostic test is unknown. Bayesian latent class analysis (BLCA) modeli...

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Detalles Bibliográficos
Autores principales: Helman, Sarah K., Mummah, Riley O., Gostic, Katelyn M., Buhnerkempe, Michael G., Prager, Katherine C., Lloyd‐Smith, James O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391344/
https://www.ncbi.nlm.nih.gov/pubmed/32760523
http://dx.doi.org/10.1002/ece3.6448

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391344/
https://www.ncbi.nlm.nih.gov/pubmed/32760523
http://dx.doi.org/10.1002/ece3.6448

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