Table 3.
ROC curve comparison with respect to the SENTINA nomogram (learning cohort, n = 75)
| Comparison | AUC differencea | Standard error | 95% CI of AUC difference | p |
|---|---|---|---|---|
| MSKCC versus SENTINA | -0.007 | 0.044 | -0.093 to 0.079 | 0.88 |
| Mayo versus SENTINA | -0.114 | 0.058 | -0.229 (to −0.000) | 0.05 |
| Cambridge versus SENTINA | -0.107 | 0.052 | -0.208 (to −0.005) | 0.04 |
| Stanford versus SENTINA | -0.122 | 0.051 | -0.2226 (to −0.022) | 0.02 |
| Tenon versus SENTINA | -0.083 | 0.055 | -0.190 to 0.025 | 0.13 |
| MDA versus SENTINA | -0.115 | 0.061 | -0.235 to 0.005 | 0.06 |
a
Negative values indicate superiority of the SENTINA nomogram. AUC = Area under the curve; CI = confidence interval.