The Effect of Verification Bias in the Naïve Estimators of Accuracy of a Binary Diagnostic Test

DOI10.1080/03610910701539369zbMath1126.62108OpenAlexW2124326612MaRDI QIDQ5436414

J. A. Roldán Nofuentes, Juan de Dios Luna del Castillo

Publication date: 16 January 2008

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910701539369

zbMATH Keywords

sensitivitypartial verificationspecificity

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Computational methods for comparing two binary diagnostic tests in the presence of partial verification of disease ⋮ Determining sample size to evaluate and compare the accuracy of binary diagnostic tests in the presence of partial disease verification ⋮ Comparison of the accuracy of multiple binary tests in the presence of partial disease verification ⋮ Asymptotic hypothesis test to compare likelihood ratios of multiple diagnostic tests in unpaired designs

Cites Work

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• An Approximation to the Negative Moments of the Positive Binomial Useful in Life Testing
• Approximation Theorems of Mathematical Statistics
• Maximum likelihood estimators of sensitivity and specificity corrected for verification bias
• Multinomial Sampling with Partially Categorized Data

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