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

• Hauptverfasser: Marie V Ozanne (Verfasst von), Grant D Brown (Verfasst von), Breanna M Scorza (Verfasst von), Kurayi Mahachi (Verfasst von), Angela J Toepp (Verfasst von), Christine A Petersen (Verfasst von)
• Format: Buch
• Veröffentlicht: Public Library of Science (PLoS), 2022-03-01T00:00:00Z.
• Schlagworte: article
• Online-Zugang: Connect to this object online.

<h4>Background</h4>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 infor...