Article In: orcid, cienciavitae
Evaluation of the Accuracy of Diagnostic Tests using Latent Class Analysis
Communications in Dependability and Quality Management
— 2007
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Authors:
Published in
January 2007
Abstract
The latent class model (LCM) is a common alternative to the classical approach (CA) to evaluate the accuracy of diagnostic tests in the absence of a true gold standard. LCM has become popular to simultaneously estimate and compare accuracy measures (like sensitivities and specificities) of all the diagnostic tests as well as the prevalence of a disease or infection in the absence of a gold standard. In this paper, we propose a latent class model with constraints to compare the accuracy of some diagnostic tests for canine leishmania infection. The mathematical constraints considered in the LCM take into account information about parasitological tests, namely specificity equal to 1. Additionally, we present a simulation study to better understand the effect of some particular observations in the measures estimated by LCM and CA.
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Publication version
VoR - Version of Record
Title of the publication container
Communications in Dependability and Quality Management
First page or article number
33
Last page
40
Volume
10
Issue
1
Fields of Science and Technology (FOS)
mathematics - Mathematics
Publication language (ISO code)
eng - English
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