Table 2.
ROC curve area comparison
A. From a logistic regression analysis | ||||||
Biomarker | Transformation | AUC a | Standard error | 95% Wald Confidence Limits | Probability b | |
Lower | Upper | |||||
NY-ESO-1 | Raw | 0.60 | 0.04 | 0.52 | 0.67 | 0.0102 |
CEA | Raw | 0.79 | 0.03 | 0.74 | 0.85 | <0.0001 |
CA125 | Raw | 0.70 | 0.03 | 0.63 | 0.77 | <0.0001 |
CYFRA 21-1 | Raw | 0.69 | 0.04 | 0.62 | 0.76 | <0.0001 |
4 Biomarker Modelc | Raw | 0.83 | 0.03 | 0.78 | 0.88 | <0.0001 |
B. From a MoM analysis | ||||||
Biomarker | Transformation | AUC a | Standard error | 95% Confidence Interval | Probability b | |
Lower | Upper | |||||
NY-ESO-1 | Raw | 0.60 | 0.04 | 0.52 | 0.67 | 0.01007 |
CEA | Raw | 0.79 | 0.03 | 0.74 | 0.85 | <0.0001 |
CA125 | Raw | 0.70 | 0.03 | 0.63 | 0.77 | <0.0001 |
CYFRA 21-1 | Raw | 0.69 | 0.04 | 0.62 | 0.76 | <0.0001 |
4 Biomarker Modelc | Raw | 0.81 | 0.03 | 0.75 | 0.86 | <0.0001 |
aAUC.
bProbability of difference to AUC = 0.5.
c4 Biomarker model = NY-ESO-1, CEA, CA125, and CYFRA 21-1.