Identifiability of Models for Multiple Diagnostic Testing in the Absence of a Gold Standard

DOI10.1111/j.1541-0420.2009.01330.xzbMath1203.62194OpenAlexW2044181079WikidataQ45025501 ScholiaQ45025501MaRDI QIDQ3064276

Wesley O. Johnson, Timothy E. Hanson, Ronald Christensen, Geoffrey Jones

Publication date: 21 December 2010

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2009.01330.x

zbMATH Keywords

sensitivityprevalencespecificitylatent class modelcorrelated tests

Mathematics Subject Classification ID

Related Items (9)

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Cites Work

• On model expansion, model contraction, identifiability and prior information: two illustrative scenarios involving mismeasured variables
• Bayesian Approaches to Modeling the Conditional Dependence Between Multiple Diagnostic Tests
• Correlation-Adjusted Estimation of Sensitivity and Specificity of Two Diagnostic Tests
• Bayesian Sample Size Determination for Prevalence and Diagnostic Test Studies in the Absence of a Gold Standard Test
• A Cautionary Note on the Robustness of Latent Class Models for Estimating Diagnostic Error without a Gold Standard
• Asymptotic Theory of Overparameterized Structural Models
• Estimating the Error Rates of Diagnostic Tests
• Random Effects Models in Latent Class Analysis for Evaluating Accuracy of Diagnostic Tests
• On Procedures for Evaluating the Effectiveness of Reinterview Survey Methods: Application to Labor Force Data
• Exploratory latent structure analysis using both identifiable and unidentifiable models
• The Geometry of a Two by Two Contingency Table
• Identification in Parametric Models

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