Bayesian Latent Class Models in Veterinary and Human Epidemiology

Luzia Augusta Pires Gonçalves, Ana Subtil, Nuno Brites, M. Rosário Oliveira, Ana Margarida Alho, Silvana Maria Duarte Belo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Latent class models have been widely used to evaluate the performanceof veterinary and human diagnostic tests, in the absence of a gold standard. In thiswork, we explore Bayesian latent class models, with and without restrictions, in different populations. We previously reported the Bayesian latent class analysis of themalaria dataset (n =3317) and now we apply a similar approach to a smaller datasetin the context of canine dirofilariasis (n =308). Although the last study presentsa small sample size, it was important to obtain the first estimates of the prevalence(and performance measures of diagnostic techniques) of canine dirofilariasis in threedistricts of Portugal, taking into account the relationship with human dirofilariasis.
Original languageEnglish
Title of host publicationProceedings of the 46th Scientific Meeting of the Italian Statistical Society
PublisherCLEUP
Pages1-8
Number of pages8
ISBN (Print)978 8 1298828
Publication statusPublished - May 2012
Event46th Scientific Meeting of the Italian Statistical Society - Sapienza University of Rome, Rome, Italy
Duration: 20 Jun 201222 Jun 2012

Conference

Conference46th Scientific Meeting of the Italian Statistical Society
Country/TerritoryItaly
CityRome
Period20/06/1222/06/12
Other

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