A general latent class model for performance evaluation of diagnostic tests in the absence of a gold standard: an application to Chagas disease
type: Item
instance of: scholarly article
title: A general latent class model for performance evaluation of diagnostic tests in the absence of a gold standard: an application to Chagas disease
zbMATH Open document ID: 1401.92102
DOI: 10.1155/2012/487502
author: Gilberto De Araujo Pereira
author: Valdirene De Fátima Barbosa
author: Márcia Maria Ferreira-Silva
author: Helio Moraes-Souza
author: Francisco Louzada
published in: Computational \& Mathematical Methods in Medicine
publication date: 2012-10-10T00:00:00Z
review text: Summary: We propose a new general Bayesian latent class model for evaluation of the performance of multiple diagnostic tests in situations in which no gold standard test exists based on a computationally intensive approach. The modeling represents an interesting and suitable alternative to models with complex structures that involve the general case of several conditionally independent diagnostic tests, covariates, and strata with different disease prevalences. The technique of stratifying the population according to different disease prevalence rates does not add further marked complexity to the modeling, but it makes the model more flexible and interpretable. To illustrate the general model proposed, we evaluate the performance of six diagnostic screening tests for Chagas disease considering some epidemiological variables. Serology at the time of donation (negative, positive, inconclusive) was considered as a factor of stratification in the model. The general model with stratification of the population performed better in comparison with its concurrents without stratification. The group formed by the testing laboratory Biomanguinhos FIOCRUZ-kit (c-ELISA and rec-ELISA) is the best option in the confirmation process by presenting false-negative rate of 0.0002\% from the serial scheme. We are 100\% sure that the donor is healthy when these two tests have negative results and he is chagasic when they have positive results.
Mathematics Subject Classification ID: 92C50
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62F15
zbMATH DE Number: 6092369
zbMATH Keywords: Bayesian latent class model
zbMATH Keywords: performance of multiple diagnostic tests
zbMATH Keywords: Chagas disease
zbMATH Keywords: epidemiological variables
Wikidata QID: Q36165239
describes a project that uses: qtlbim
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/487502
OpenAlex ID: W2147285561
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description: scientific article; zbMATH DE number 6092369