Table 3.
Comparison Among Models Applied on the 4 Cohorts
AUC (95% CI) |
||||
---|---|---|---|---|
ActiFE | ELSA | InCHIANTI | TILDA | |
FRAT-up | 0.562 (0.530–0.594) | 0.699 (0.680–0.718) | 0.636 (0.594–0.681) | 0.685 (0.660–0.709) |
Cohort-specific model fitted on ActiFE | 0.574 (0.541–0.604) | 0.566 (0.545–0.585) | 0.549 (0.505–0.594) | 0.559 (0.532–0.584) |
Cohort-specific model fitted on ELSA | 0.560 (0.527–0.593) | 0.719 (0.698–0.739) | 0.611 (0.570–0.654) | 0.675 (0.648–0.704) |
Cohort-specific model fitted on InCHIANTI | 0.530 (0.501–0.559) | 0.664 (0.644–0.681) | 0.571 (0.520– 0.619) | 0.633 (0.608–0.661) |
Cohort-specific model fitted on TILDA | 0.561 (0.527–0.592) | 0.661 (0.642–0.678) | 0.600 (0.558–0.647) | 0.686 (0.660–0.710) |
The discriminative ability is quantified with AUC (95% CI). The results from internal validation (fitting and testing on the same cohort) are in italics.