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Bayesian latent class models for identifying canine visceral leishmaniosis using diagnostic tests in...

Bayesian latent class models for identifying canine visceral leishmaniosis using diagnostic tests in...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2651150301

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

About this item

Full title

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

Publisher

United States: Public Library of Science

Journal title

PLoS neglected tropical diseases, 2022-03, Vol.16 (3), p.e0010236-e0010236

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

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 diagnostic tests with dichotomous serological and PCR assays, but hav...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2651150301

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2651150301

Other Identifiers

ISSN

1935-2735,1935-2727

E-ISSN

1935-2735

DOI

10.1371/journal.pntd.0010236

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