Estimating Diagnostic Accuracy of Raters Without a Gold Standard by Exploiting a Group of Experts

DOI10.1111/j.1541-0420.2012.01789.xzbMath1259.62108OpenAlexW2014381491WikidataQ36489821 ScholiaQ36489821MaRDI QIDQ4911959

Zhen Chen, Bo Zhang, Paul S. Albert

Publication date: 20 March 2013

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3530625

zbMATH Keywords

sensitivityprevalencemodel selectionspecificitydiagnostic errorimperfect tests

Mathematics Subject Classification ID

Related Items (3)

A pseudo-likelihood approach for estimating diagnostic accuracy of multiple binary medical tests ⋮ Covariate-adjusted Bayesian estimation of the performance of a continuous diagnostic test with a limit of detection in the absence of a reference standard: a simulation study ⋮ Simultaneous inference of a misclassified outcome and competing risks failure time data

Cites Work

• Unnamed Item
• Latent Class Modeling Approaches for Assessing Diagnostic Error without a Gold Standard: With Applications to p53 Immunohistochemical Assays in Bladder Tumors
• A Cautionary Note on the Robustness of Latent Class Models for Estimating Diagnostic Error without a Gold Standard
• Insights into latent class analysis of diagnostic test performance
• Estimating the Error Rates of Diagnostic Tests
• Random Effects Models in Latent Class Analysis for Evaluating Accuracy of Diagnostic Tests
• Model Selection Criteria for Missing-Data Problems Using the EM Algorithm

This page was built for publication: Estimating Diagnostic Accuracy of Raters Without a Gold Standard by Exploiting a Group of Experts