Bayesian latent class models for identifying canine visceral leishmaniosis using diagnostic tests in the absence of a gold standard

BACKGROUND: Like many infectious diseases, there is no practical gold standard for diagnosing clinical visceral leishmaniasis (VL). Latent class modeling has been proposed to estimate a latent gold standard for identifying disease. These proposed models for VL have leveraged information from diagnos...

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Detalles Bibliográficos
Autores principales: Ozanne, Marie V., Brown, Grant D., Scorza, Breanna M., Mahachi, Kurayi, Toepp, Angela J., Petersen, Christine A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947804/
https://www.ncbi.nlm.nih.gov/pubmed/35286301
http://dx.doi.org/10.1371/journal.pntd.0010236

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947804/
https://www.ncbi.nlm.nih.gov/pubmed/35286301
http://dx.doi.org/10.1371/journal.pntd.0010236

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