Computational methods for comparing two binary diagnostic tests in the presence of partial verification of disease

DOI10.1007/s00180-009-0155-yzbMath1233.62186OpenAlexW2041330120WikidataQ60534528 ScholiaQ60534528MaRDI QIDQ638052

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

Publication date: 8 September 2011

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-009-0155-y

zbMATH Keywords

sensitivitymaximum likelihood estimatesspecificitySEM-algorithm

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Testing in survival analysis and censored data (62N03)

Related Items (4)

EM and SEM algorithms to compare the weighted kappa coefficients of two diagnostic tests in the presence of partial verification and discrete covariates ⋮ 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 simultaneously compare the weighted kappa coefficients of multiple binary diagnostic tests in the presence of ignorable missing data

Cites Work

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• Comparing Accuracies of Two Screening Tests in a Two-Phase Study for Dementia
• Maximum likelihood estimators of sensitivity and specificity corrected for verification bias
• Statistical Methods for Rates and Proportions
• The Effect of Verification Bias in the Naïve Estimators of Accuracy of a Binary Diagnostic Test
• EM algorithm for comparing two binary diagnostic tests when not all the patients are verified

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