Table 2 Comparison of discrimination performance of prediction models in man
Predictive model | cNRI | P Value | IDI | P Value |
|---|---|---|---|---|
Cox regression vs.Lasso-Cox | 0.010(-0.199,0.219) | 0.93 | -0.004(-0.010,0.002) | 0.16 |
Cox regression vs.RSF | 0.272(0.063,0.481) | 0.01 | 0.017(0.001,0.034) | 0.04 |
Cox regression vs.China-PAR | 0.065(-0.098,0.227) | 0.44 | -0.033(-0.049,-0.017) | < 0.01 |
Cox regression vs.FRS | -0.169(-0.297,-0.041) | < 0.01 | -0.045(-0.061,-0.029) | < 0.01 |
Lasso-Cox vs.RSF | 0.323(0.128,0.530) | < 0.01 | 0.021(0.006,0.037) | < 0.01 |
Lasso-Cox vs.China-PAR | 0.094(-0.072,0.260) | 0.27 | -0.029(-0.044,-0.014) | < 0.01 |
Lasso-Cox vs.FRS | -0.188(-0.310,-0.067) | < 0.01 | -0.041(-0.056,-0.026) | < 0.01 |
RSF vs.China-PAR | -0.297(-0.427,-0.177) | < 0.01 | -0.050(-0.065,-0.035) | < 0.01 |
RSF vs.FRS | -0.447(-0.564,-0.329) | < 0.01 | -0.062(-0.080,-0.045) | < 0.01 |
China-PAR vs.FRS | -0.381(-0.596,-0.165) | < 0.01 | -0.013(-0.020,-0.004) | < 0.01 |