Table 4.
Composite subtest | Composite domains | Learning and retention | |
---|---|---|---|
AUC | 0.76 [0.72, 0.80] | 0.80 [0.76, 0.83] | 0.78 [0.74, 0.81] |
Cutoff | 0.17 | 0.21 | 0.15 |
Sensitivity | 0.72 [0.67, 0.78] | 0.74 [0.68, 0.79] | 0.71 [0.65, 0.76] |
Specificity | 0.69 [0.65, 0.73] | 0.74 [0.70, 0.77] | 0.75 [0.71, 0.78] |
PPV | 0.53 [0.47, 0.58] | 0.57 [0.52, 0.62] | 0.57 [0.52, 0.62] |
NPV | 0.84 [0.80, 0.87] | 0.86 [0.82, 0.89] | 0.84 [0.81, 0.87] |
Test accuracy | 0.70 [0.67, 0.73] | 0.74 [0.71, 0.77] | 0.73 [0.70, 0.76] |
Note. AUC = area under the curve; PPV = positive predictive value; NPV = negative predictive value.
Significant difference compared with composite domains summary score.
Significant difference compared with learning and retention summary score.