Three optimal cut-point selection criteria based on sensitivity and specificity with user-defined weights |
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| Authors: | Dan-Ling Li Jun-Xiang Peng Chong-Yang Duan Ju-Min Deng |
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| Institution: | 1. Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China;2. Department of Neurosurgery, Southern Hospital, Southern Medical University, Guangzhou, Guangdong, China |
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| Abstract: | Methods: Based on the index S (S = SENSITIVITY (SEN) × SPECIFICITY (SPE)), the new weighted product index Sw is defined as Sw = (SEN)2w × (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. |
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| Keywords: | Weighted product index diagnostic test weights sensitivity specificity optimal cut point |
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