… Cohen's kappa. However, the simplicity of Cohen's kappa can be a virtue when the use of
ROC curves is cost-ineffective, and/or when the interpretation of ROC curves is rather difficult …

… The statistics were determined using Cohen's kappa statistics for a gold standard and a
continuous biomarker. The proposed design is compared with the ROC curve by applying it to …

… Hence, we believe that it has been sufficiently justified that, unfortunately, Cohen’s
Kappa can no longer play this role, especially considering the existence of solid alternatives. …

… Therefore, it seems crucial to use an index like Cohen's kappa, besides the ROC curve, for
revealing the LSMs differences and, in addition, integrate the created LSMs for obtaining a …

… area under the receiver operating characteristic curve (AUC). … The aim of this work is to
extend the Cohen Kappa coefficient … described by the Cohen Kappa coefficient with continuous, …

… use of ROC curves, the issues with AUC and Kappa, and make … Cohen Kappa is similar to
Informedness, the Kappa curve is … feature of the ROC curve or hull is not its area but its shape. …

… intersections of ROC curves are both prima facie evidence that fusion of the parameterized
… re expectation as Cohen Kappa, and we will thus call it Powers Kappa, and derive an …

… [66] used Cohen’s Kappa to capture discrimination in 161 the same way as the receiver
operating characteristic curve. Holle and Rein [67] employed Cohen’s Kappa to assess 163 …

… A receiver operating characteristic curve (ROC) analysis was used to identify the cut-off …
LR−), area under the curve (AUC), diagnostic odds ratio (DOR), and Cohen's kappa. The level of …

… Cohen's kappa (κ) statistic is a measure of inter-rater agreement for categorical variables. It
… ROC curves with different ROC areas. A perfect test (A) has an area under the ROC curve of 1…