Table 2.
Univariate Cox regression modeling for the overall survival using each of the three gene models (A) and bivariate Cox regression modeling by combining two of the three gene models (B) in validation set I
| A. Univariate analysis (individual gene model) | |||
|---|---|---|---|
| Concordance index | P value (Likelihood ratio test) | P value (Logrank test) | |
| Wang_4genescore | 0.81 | 0.0006 | 7×10−05 |
| Olmos_9genescore | 0.72 | 0.004 | 0.005 |
| Ross_6genescore | 0.68 | 0.028 | 0.026 |
| B. Bivariate analysis (Combining two gene models) | |||
| P value (Wald’s test) | |||
| Wang_4genescore | 0.042 | ||
| Olmos_9genescore | 0.35 | ||
| Wang_4genescore | 0.010 | ||
| Ross_6genescore | 0.99 | ||
| Olmos_9genescore | 0.054 | ||
| Ross_6genescore | 0.40 | ||