alexa Estimation and Comparison of the Weighted Kappa Coeffic
ISSN: 2155-6180

Journal of Biometrics & Biostatistics
Open Access

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Review Article

Estimation and Comparison of the Weighted Kappa Coefficients of Binary Diagnostic Tests: A Review

José Antonio Roldán Nofuentes*, Juan de Dios Luna Del Castillo and Miguel Angel Montero Alonso

Biostatistics, School of Medicine, University of Granada, 18071, Granada, Spain

*Corresponding Author:
José Antonio Roldán Nofuentes
Biostatistics, School of Medicine, University of Granada
18071, Granada, Spain
E-mail: [email protected]

Received date: August 31, 2011; Accepted date: January 13, 2012; Published date: January 18,2012

Citation: Nofuentes JAR, de Dios Luna Del Castillo J, Montero Alonso MA (2012) Estimation and Comparison of the Weighted Kappa Coefficients of Binary Diagnostic Tests: A Review. J Biom Biostat S7:003. doi:10.4172/2155-6180.S7-003

Copyright: © 2012 Nofuentes JAR, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

 Sensitivity and specificity are classic parameters to assess and to compare the precision of binary diagnostic tests in relation to a gold standard. Another parameter to assess and to compare the performance of binary diagnostic tests is the weighted kappa coefficient, which is a measure of the beyond-chance agreement between the binary diagnostic test and the gold standard, and it is a function of the sensitivity and the specificity of the diagnostic test, the disease prevalence and the relative loss between the false positives and the false negatives. In this study, we carry out a review of the weighted kappa coefficient, its estimation for a single diagnostic test and the hypothesis tests to compare the

weighted kappa coefficients of two or more diagnostic tests, both when the gold standard is applied to all of the subjects in a random sample and when the gold standard is only applied to a subset of subjects in a random sample. The results were applied to different examples.

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