Bivariate hierarchical model for the Meta-analysis of diagnostic tests in studies with binary responses: its application from SAS and R

Abstract Studies on the precision of diagnostic tests usually report the number of true positives, false positives, true negatives, and false negatives. There is generally a negative association between the number of true positives and true negatives, as studies that adopt less strict criteria to de...

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Autores principales:	Bauz-Olvera,Sergio A., Pambabay-Calero,Johny J., Nieto-Librero,Ana B., Galindo-Villardón,Ma. Purificación
Lenguaje:	English
Publicado:	Universidad Católica del Norte, Departamento de Matemáticas 2020
Materias:	Sensitivity Specificity Diagnostic accuracy Random effects Bivariate approach
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172020000501365
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spelling	oai:scielo:S0716-091720200005013652020-11-16Bivariate hierarchical model for the Meta-analysis of diagnostic tests in studies with binary responses: its application from SAS and RBauz-Olvera,Sergio A.Pambabay-Calero,Johny J.Nieto-Librero,Ana B.Galindo-Villardón,Ma. Purificación Sensitivity Specificity Diagnostic accuracy Random effects Bivariate approach Abstract Studies on the precision of diagnostic tests usually report the number of true positives, false positives, true negatives, and false negatives. There is generally a negative association between the number of true positives and true negatives, as studies that adopt less strict criteria to declare a test as positive need higher sensitivities and lower specificities. Given this particularity, the bivariate nature of the data must be preserved, by modeling sensitivity and specificity together. In this paper, we will use the bivariate hierarchical model applied to a meta-analysis data set which was an update to a previous systematic review of diagnostic tests for chronic Chagas disease. Our modeling framework was implemented with SAS NLMIXED procedure, making it possible to obtain summary measures for sensitivity and specificity, with values of 0.725 and 0.995, respectively, out of a total of 35 studies with 6057 patients.info:eu-repo/semantics/openAccessUniversidad Católica del Norte, Departamento de MatemáticasProyecciones (Antofagasta) v.39 n.5 20202020-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172020000501365en10.22199/issn.0717-6279-2020-05-0083
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Sensitivity Specificity Diagnostic accuracy Random effects Bivariate approach
spellingShingle	Sensitivity Specificity Diagnostic accuracy Random effects Bivariate approach Bauz-Olvera,Sergio A. Pambabay-Calero,Johny J. Nieto-Librero,Ana B. Galindo-Villardón,Ma. Purificación Bivariate hierarchical model for the Meta-analysis of diagnostic tests in studies with binary responses: its application from SAS and R
description	Abstract Studies on the precision of diagnostic tests usually report the number of true positives, false positives, true negatives, and false negatives. There is generally a negative association between the number of true positives and true negatives, as studies that adopt less strict criteria to declare a test as positive need higher sensitivities and lower specificities. Given this particularity, the bivariate nature of the data must be preserved, by modeling sensitivity and specificity together. In this paper, we will use the bivariate hierarchical model applied to a meta-analysis data set which was an update to a previous systematic review of diagnostic tests for chronic Chagas disease. Our modeling framework was implemented with SAS NLMIXED procedure, making it possible to obtain summary measures for sensitivity and specificity, with values of 0.725 and 0.995, respectively, out of a total of 35 studies with 6057 patients.
author	Bauz-Olvera,Sergio A. Pambabay-Calero,Johny J. Nieto-Librero,Ana B. Galindo-Villardón,Ma. Purificación
author_facet	Bauz-Olvera,Sergio A. Pambabay-Calero,Johny J. Nieto-Librero,Ana B. Galindo-Villardón,Ma. Purificación
author_sort	Bauz-Olvera,Sergio A.
title	Bivariate hierarchical model for the Meta-analysis of diagnostic tests in studies with binary responses: its application from SAS and R
title_short	Bivariate hierarchical model for the Meta-analysis of diagnostic tests in studies with binary responses: its application from SAS and R
title_full	Bivariate hierarchical model for the Meta-analysis of diagnostic tests in studies with binary responses: its application from SAS and R
title_fullStr	Bivariate hierarchical model for the Meta-analysis of diagnostic tests in studies with binary responses: its application from SAS and R
title_full_unstemmed	Bivariate hierarchical model for the Meta-analysis of diagnostic tests in studies with binary responses: its application from SAS and R
title_sort	bivariate hierarchical model for the meta-analysis of diagnostic tests in studies with binary responses: its application from sas and r
publisher	Universidad Católica del Norte, Departamento de Matemáticas
publishDate	2020
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172020000501365
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Bivariate hierarchical model for the Meta-analysis of diagnostic tests in studies with binary responses: its application from SAS and R

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