A unification of models for meta‐analysis of diagnostic accuracy studies without a gold standard

DOI10.1111/BIOM.12264zbMath1390.62289OpenAlexW1872351202WikidataQ35558768 ScholiaQ35558768MaRDI QIDQ3459958

Yong Chen, Haitao Chu, Yulun Liu

Publication date: 11 January 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4416105

zbMATH Keywords

hierarchical modelmeta-analysisdiagnostic testgeneralized linear mixed modelimperfect reference test

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Generalized linear models (logistic models) (62J12)

Related Items (2)

A Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-Analysis of Diagnostic Tests ⋮ A population‐averaged approach to diagnostic test meta‐analysis

Cites Work

• A unification of models for meta-analysis of diagnostic accuracy studies
• Estimating the Error Rates of Diagnostic Tests
• Model Selection and Multimodel Inference
• Bayesian Meta‐Analysis of the Accuracy of a Test for Tuberculous Pleuritis in the Absence of a Gold Standard Reference

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