Table 4. Logistic Regression Model Predicting Social Outcome.
| Variable | β | SE | Wald | OR (95% CI) | P Value | AUCa (SE) [95% CI] |
R2N | Sensitivity | Specificity |
|---|---|---|---|---|---|---|---|---|---|
| Processing speedb | 0.324 | 0.141 | 5.31 | 1.38 (1.050-1.823) | .02 | ||||
| Social functioningb | 0.617 | 0.198 | 9.72 | 1.85 (1.258-2.732) | .002 | 0.824 (0.045) [0.736-0.913] |
0.393 | 0.727 | 0.750 |
| SOPS total disorganization subscale score (>4) | 1.621 | 0.604 | 7.20 | 5.06 (1.548-16.527) | .007 |
Abbreviations: AUC, area under the curve; OR, odds ratio; R2N, Nagelkerke pseudo R2 statistic; SE, standard error; SOPS, Scale of Prodromal Symptoms.
The AUC values can range from 0.5 (indicates that an instrument can discriminate between groups no better than chance) to 1.0 (represents perfect discriminatory performance) and can be interpreted using the following categories: acceptable = 0.70, good = 0.80, and excellent = 0.90.
To keep all coefficients positive, Global Functioning:Social and Global Functioning:Role scores have been inverted (subtracting 11) so that a higher number indicates poorer functioning (eg, a score of 10 equals 1). Processing speed and verbal memory scores were also inverted (multiplied by −1) so that a larger z score indicates worse performance.