Defining an Optimal Cut-Point Value in ROC Analysis: An Alternative Approach.

ABSTRACT: ROC curve analysis is often applied to measure the diagnostic accuracy of a biomarker. The analysis results in two gains: diagnostic accuracy of the biomarker and the optimal cut-point value. There are many methods proposed in the literature to obtain the optimal cut-point value. In this study, a new approach, alternative to these methods, is proposed. The proposed approach is based on the value of the area under the ROC curve. This method defines the optimal cut-point value as the value whose sensitivity and specificity are the closest to the value of the area under the ROC curve and the absolute value of the difference between the sensitivity and specificity values is minimum. This approach is very practical. In this study, the results of the proposed method are compared with those of th

SUBMITTER: Unal I 

PROVIDER: S-EPMC5470053 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature