From: Use of biomarkers of metals to improve prediction performance of cardiovascular disease mortality
Model | C-index | Continuous NRI (95% CI) | # of Predictorsa |
---|---|---|---|
Cox Proportional Hazards Model | |||
 Model 1: Traditional Predictorsb | 0.845 |  | 10 |
 Model 2: + Blood Metalsc | 0.847 | 0.23 (0.09, 0.38) | 13 |
 Model 3: + Urinary Metalsd | 0.843 | 0.21 (0.07, 0.35) | 28 |
 Model 4: + Metals quadratic/interaction termse | 0.773 | 0.35 (0.21, 0.48) | 177 |
Elastic-Net | |||
 Model 5: Traditional Predictorsb | 0.828 |  | 10 |
 Model 6: + Blood Metalsc | 0.830 | 0.66 (0.52, 0.80) | 12 |
 Model 7: + Urinary Metalsd | 0.830 | 0.51 (0.37, 0.64) | 14 |
 Model 8: + Metals quadratic/interaction termse | 0.830 | 0.76 (0.62, 0.90) | 13 |
Survival Random Forest | |||
 Model 9: Traditional Predictorsb | 0.833 |  | 10 |
 Model 10: + Blood Metalsc | 0.826 | -0.18 (-0.32, -0.04) | 13 |
 Model 11: + Urinary Metalsd | 0.826 | -0.49 (-0.63, -0.35) | 28 |