Table 6.
Classification of Medical Evaluation Board or Return to Duty Status from Logistic Regression Models with One of the Predictors Dropped from the Full Model*
Model predictors | Sensitivity | Specificity | AUC (95% CI) |
---|---|---|---|
RBANS, ADC, 3+ TBI | 0.82 | 0.67 | 0.77 (0.66, 0.86) |
RBANS, 3+TBI | 0.78 | 0.70 | 0.76 (0.66, 0.98) |
RBANS, 3+TBI | 0.78 | 0.70 | 0.76 (0.66, 0.98) |
RBANS, ADC | 0.80 | 0.63 | 0.74 (0.62, 0.85) |
ADC, 3+ TBI | 0.70 | 0.59 | 0.67 (0.54, 0.79) |
RBANS, Repeatable Battery for Neuropsychological Status; ADC, apparent diffusion coefficient; TBI, traumatic brain injury.
The classification threshold is chosen to maximize the sum of sensitivity and specificity. The area under the receiver operating characteristic curve (area under the curve [AUC]) is higher for a better classifier. The AUC is lowest when RBANS is left out of the model.