Table 3.
Cutoff Points in Total Premenstrual Daily Symptom Report Scores for Prediction of Severe Premenstrual Syndrome
| |
17 symptoms |
|
|
6 symptoms |
|
||
|---|---|---|---|---|---|---|---|
| DSR score | Sensitivitya | Specificityb | Correctly classified | DSR score | Sensitivity | Specificity | Correctly classified |
| 60 | 100% | 42.5% | 80.2% | 25 | 97.8% | 49.5% | 81.2% |
| 70 | 100% | 52.7% | 83.7% | 30 | 94.9% | 58.1% | 82.3% |
| 80 | 100%c | 59.1% | 86.0% | 33 | 94.1% | 63.4% | 83.6% |
| 120 | 75.5% | 77.4% | 76.2 % | 40 | 84.2% | 71.5% | 80.0% |
| 140 | 63.4% | 81.7% | 69.7% | 50 | 67.9% | 80.7% | 72.3% |
a
Sensitivity maximizes the number correctly classified.
b
Specificity minimizes the number falsely classified.
c
The bold cutoff points identify the largest number correctly classified in each model.