Table 2 Results from the prediction models for data simulated with prevalence = 50%, ICC = .20, n = 5000 (J = S = 50, nj = nc=100), β1 = 1.5 (the default setting)
| Â | Optimal score | FREQ | BAYES.WI | BAYES.LI | BAYES.MI | BAYES.HI | FREQ.2 | FREQ.3 | FREQ.5 |
|---|---|---|---|---|---|---|---|---|---|
Overall Brier score | 0 | .191 | .192 | .179 | .174 | .170 | .173 | .170 | .167 |
Overall C-index/AUC | 1 | .782 | .781 | .808 | .818 | .826 | .822 | .827 | .833 |
Overall calibration slope | 1 | .911 | .907 | .957 | .982 | .989 | .965 | .972 | .994 |
Within cluster C-index/AUCa | 1 | .805 [.037] | .805 [.037] | .805 [.037] | .805 [.037] | .805 [.037] | .805 [.037] | .805 [.037] | .805 [.037] |
Within cluster calibration slopea | 1 | .914 [.102] | .914 [.102] | .947 [.091] | .956 [.078] | .963 [.058] | .954 [.092] | .973 [.080] | .977 [.062] |