Asymptotic hypothesis test to simultaneously compare the weighted kappa coefficients of multiple binary diagnostic tests in the presence of ignorable missing data

DOI10.1080/00949655.2012.706300zbMath1453.62735OpenAlexW2056010253MaRDI QIDQ5219228

José Antonio Roldán Nofuentes, A. E. Marín Jiménez, Juan de Dios Luna del Castillo

Publication date: 9 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2012.706300

zbMATH Keywords

partial verificationignorable missing dataweighted kappa coefficientHochberg's methodHolm's method

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

Average kappa coefficient: a new measure to assess a binary test considering the losses associated with an erroneous classification

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Computational methods for comparing two binary diagnostic tests in the presence of partial verification of disease
• Comparing two binary diagnostic tests in the presence of verification bias
• Comparison of the accuracy of multiple binary tests in the presence of partial disease verification
• The effect of verification bias on the comparison of predictive values of two binary diagnostic tests
• Chance-corrected measures for 2 × 2 tables that coincide with weighted kappa
• 2 x 2 Kappa Coefficients: Measures of Agreement or Association
• Global Hypothesis Test to Simultaneously Compare the Predictive Values of Two Binary Diagnostic Tests in Paired Designs: a Simulation Study
• A bootstrap method for comparing correlated kappa coefficients
• Confidence Intervals of Weighted Kappa Coefficient of a Binary Diagnostic Test
• A sharper Bonferroni procedure for multiple tests of significance
• Comparing Accuracies of Two Screening Tests in a Two-Phase Study for Dementia
• Maximum likelihood estimators of sensitivity and specificity corrected for verification bias
• Comparing Two Diagnostic Tests against the Same "Gold Standard" in the Same Sample
• Comparisons of Predictive Values of Binary Medical Diagnostic Tests for Paired Designs
• EM algorithm for comparing two binary diagnostic tests when not all the patients are verified

This page was built for publication: Asymptotic hypothesis test to simultaneously compare the weighted kappa coefficients of multiple binary diagnostic tests in the presence of ignorable missing data