Table 4.
Predictive Accuracy of Logistic Regression Models (DV: 30+ vs. >30 Days of Symptoms)
| Without litigation | With litigation | |||||||
|---|---|---|---|---|---|---|---|---|
| AUC (95% CI) | % Correct | NPV | PPV | AUC (95% CI) | % Correct | NPV | PPV | |
| Model 1: Demographics | 0.62 (0.53, 0.72) | 60.4 | 71.1 | 55.3 | 0.70 (0.61, 0.79) | 64.0 | 61.8 | 70.3 |
| Model 2: + Symptoms | 0.70 (0.61, 0.79) | 66.2 | 68.5 | 63.6 | 0.75 (0.66, 0.83) | 67.6 | 68.4 | 66.7 |
| Model 3: + Performance | 0.76 (0.68, 0.84) | 71.9 | 72.7 | 71.0 | 0.80 (0.73, 0.88) | 74.1 | 74.4 | 73.8 |
AUC, under the receiver operating characteristic curve; CI, confidence interval; DV, dependent variable; NPV, negative predictive value; PPV, positive predictive value.