Table 3.
Logistic Regression and Diagnostic Accuracy Predicting SIMS Total Score
| SIMS Cutoff | Index | Model Results |
Cutoff | Sen. | Sp. | PLR | NLR | 15% |
30% |
||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AUC | Wald χ2 | p | PPV | NPV | PPV | NPV | |||||||
| > 14 | NSI Total | .905 | 92.67 | < .001 | ≥ 36 | .662 | .913 | 7.34 | 0.14 | .56 | .94 | .76 | .87 |
| ≥ 35 | .675 | .908 | |||||||||||
| ≥ 34 | .695 | .897 | |||||||||||
| Validity-10 | .882 | 90.57 | < .001 | ≥ 14 | .610 | .940 | 7.54 | 0.13 | .57 | .94 | .76 | .86 | |
| ≥ 13 | .656 | .913 | |||||||||||
| ≥ 12 | .708 | .859 | |||||||||||
| mBIAS | .672 | 28.02 | < .001 | ≥ 8 | .130 | .989 | 6.50 | 0.15 | .53 | .87 | .74 | .74 | |
| ≥ 7 | .208 | .968 | |||||||||||
| ≥ 6 | .468 | .859 | |||||||||||
|
| |||||||||||||
| > 23 | NSI Total | .880 | 56.87 | < .001 | ≥ 49 | .463 | .912 | 5.06 | 0.20 | .47 | .91 | .68 | .80 |
| ≥ 48 | .481 | .905 | |||||||||||
| ≥ 47 | .574 | .898 | |||||||||||
| Validity-10 | .875 | 57.88 | < .001 | ≥ 20 | .370 | .937 | 5.22 | 0.19 | .48 | .90 | .69 | .79 | |
| ≥ 19 | .444 | .915 | |||||||||||
| ≥ 18 | .537 | .898 | |||||||||||
| mBIAS | .752 | 30.79 | < .001 | ≥ 8 | .204 | .962 | 5.25 | 0.19 | .48 | .89 | .69 | .77 | |
| ≥ 7 | .354 | .933 | |||||||||||
| ≥ 6 | .685 | .785 | |||||||||||
Note. SIMS = Structured Inventory of Malingered Symptomatology; NSI = Neurobehavioral Symptom Inventory; mBIAS = Mild Brain Injury Atypical Symptoms; Sen. = Sensitivity; Sp. = Specificity.