Confidence Intervals of Weighted Kappa Coefficient of a Binary Diagnostic Test

Autor:	Miguel Ángel Montero Alonso, J.D. Luna del Castillo, J. A. Roldán Nofuentes
Rok vydání:	2009
Předmět:	Statistics and Probability Cohen's kappa Modeling and Simulation Statistics Diagnostic test Binary number Gold standard (test) Sensitivity (control systems) Measure (mathematics) Confidence interval Mathematics
Zdroj:	Communications in Statistics - Simulation and Computation. 38:1562-1578
ISSN:	1532-4141 0361-0918
DOI:	10.1080/03610910903039473
Popis:	Sensitivity and specificity are classic parameters to assess the performance of a binary diagnostic test. Another useful parameter to measure the performance of a binary test is the weighted kappa coefficient, which is a measure of the classificatory agreement between the binary test and the gold standard. Various confidence intervals are proposed for the weighted kappa coefficient when the binary test and the gold standard are applied to all of the patients in a random sample. The results have been applied to the diagnosis of coronary artery disease.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::15aa1f93b9357cb3cf8051b20bcb4e87 https://doi.org/10.1080/03610910903039473 Zobrazit plný text záznamu