Table 2.
A | B | C | |
---|---|---|---|
Overall Fit | |||
Nagelkerke / Royston R2 | .164 (.053, .297) | .247 (.113, .384) | .374 (.226, .502) |
Scaled Brier Score | .278 (.239, .313) | .226 (.164, .280) | .375 (.326, .417) |
Discrimination | |||
AUC | .647 (.576, .718) | .680 (612,.748) | .741 (.677, .805) |
Discrimination R2 | .164 (.053, .297) | .247 (.113, .384) | .374 (.226, .502) |
Calibration | |||
Calibration in the Large | .101 (.090, .112) | .155 (.040, .171) | .002 (−.013, .01) |
Hosmer-Lemeshow Statistic | 18.90 (p = .0003) | 41.89 (p < .0001) | 3.11 (p = .742) |
Notes: Measures of model performance with 95% Confidence Intervals in parentheses for Table 2 models. AUC = Area Under the Curve. Model A = demographics only, Model B = Model A + health factors, Model C = Model B + personality items/ facets.