Defining an Optimal Cut-Point Value in ROC Analysis: An Alternative Approach
Author
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-31
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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 the standard approaches, by using simulated data with different distribution and homogeneity conditions as well as a real data.
According to the simulation results, the use of the proposed method is advised for finding the true cut-point.
American Psychological Association (APA)
Ünal, İlker. 2017. Defining an Optimal Cut-Point Value in ROC Analysis: An Alternative Approach. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1142085
Modern Language Association (MLA)
Ünal, İlker. Defining an Optimal Cut-Point Value in ROC Analysis: An Alternative Approach. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1142085
American Medical Association (AMA)
Ünal, İlker. Defining an Optimal Cut-Point Value in ROC Analysis: An Alternative Approach. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1142085
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142085