Three optimal cut-point selection criteria based on sensitivity and specificity with user-defined weights. Issue 3 (1st February 2019)

• Record Type: Journal Article
• Authors: Li, Dan-Ling; Peng, Jun-Xiang; Duan, Chong-Yang; Deng, Ju-Min
• Is Part Of: Communications in statistics. Volume 48:Issue 3(2019)
• Page Start: 742
• Page End: 754
• Publication Date: 2019-02-01
• Subjects: Weighted product index -- diagnostic test -- weights -- sensitivity -- specificity -- optimal cut point.; Mathematical statistics -- Periodicals; Mathematics; Statistics; 519.2
• DOI: 10.1080/03610926.2018.1435809
• Languages: English
• ISSNs: 0361-0926

Abstract

ABSTRACT: Methods : Based on the index S ( S = SENSITIVITY (SEN) × SPECIFICITY (SPE) ), the new weighted product index Sw is defined as Sw = ( SEN ) 2 w × ( SPE ) 2(1- w), where (0≤ w ≤1). The Sw is developed to be a new tool to select the optimal cut point in ROC analysis and be compared with the other two commonly used criteria. Results : Comparing the optimal cut point for the three criteria, the wave range of the optimal cut point for the maximized weighted Youden index criterion is the widest, the weighted closest-to-(0, 1) criterion is the narrowest and the weighted product index Sw criterion lays between the ranges of the two criteria.