Table 3. Discrimination and calibration of multivariate models.
Model | Discrimination: AUC (95% CI) | Calibration: Hosmer – Lemeshow p-value | Variance Explained (MOST) | |
---|---|---|---|---|
| ||||
Derivation (MOST) | Validation (OAI) | |||
Multivariable Model 1 | 0.78 (0.75, 0.82) | 0.76 (0.70, 0.82) | 0.401 | 20% |
Multivariable Model 2 | 0.78 (0.74, 0.81) | 0.77 (0.71, 0.82) | 0.881 | 19% |