Table 3.
Evaluating performance of risk predictor models
| Parameter | Number of studies (%) |
|---|---|
| Validation | |
| Apparent | 4 (57 %) |
| Internal | |
| Bootstrapping | 0 |
| Jack-knifing | 0 |
| Random split sample | 3 (43 %) |
| Cross validation | 0 |
| Temporal | 0 |
| External | 0 |
| Performance metrics | |
| Discrimination | |
| C-statistic | 6 (86 %) |
| Spearman’s rank correlation | 1 (14 %) |
| Calibration | 2 (29 %) |
| Hosmer-Lemeshow statistic | 2 (29 %) |
| Calibration plot | 0 |
| Classification | |
| Reclassification (NRI) | 0 |
| Other (for example, sensitivity and specificity) | 6 (86 %) |
NRI net reclassification index