Research Article
Defining an Optimal Cut-Point Value in ROC Analysis: An Alternative Approach
Table 2
Some of the cut-points with their sensitivity and specificity values obtained from artificial data.
| Cut-point | Specificity | Sensitivity |
| | | | 3.095 | 0.44 | 0.92 | 2.986 | 0.48 | 0.92 | 2.727 | 0.52 | 0.92 | 2.527 | 0.56 | 0.92 | 2.478 | 0.60 | 0.92 | 2.416 | 0.64 | 0.92 | 2.331 | 0.68 | 0.92 | 2.284 | 0.72 | 0.92 | 2.262 | 0.76 | 0.92 | 2.243 | 0.80 | 0.92 | 2.191 | 0.84 | 0.92 | 2.079 | 0.88 | 0.92 | 1.985 | 0.92 | 0.92 | 1.944 | 0.92 | 0.88 | 1.897 | 0.92 | 0.84 | 1.836 | 0.92 | 0.80 | 1.741 | 0.92 | 0.76 | | | |
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