a: Logistic probabilities for the training set
Logit(P) Sensitivity Specificity PPV NPV Accuracy
0.0198 99.0% 16.0% 2.3% 99.9% 44.2%
0.0511 95.0% 63.0% 12.1% 99.6% 73.9%
0.1783 90.0% 72.0% 41.1% 97.1% 78.1%
0.5 78.0% 92.0% 90.7% 80.7% 87.0%
0.4747 80.0% 90.0% 87.8% 83.3% 86.6%
0.6845 61.0% 95.0% 96.4% 52.9% 83.5%
0.9012 25.0% 99.0% 99.6% 12.6% 73.9%
Logit(P): Logistic Probabilities; PPV: Positive Predictive Value; NPV: Negative Predictive Value
b: Performance of the statistical model on the training and testing sets with Logit(P)=0.5
  Training set Testing set External validation
Non-Cancers 107 120 88
True negative 98 110 72
False positive 9 10 16
Colorectal Cancers 55 56 519
False negative 12 19 15
True positive 43 37 504
Total 162 176 519
Sensitivity 78.0% 66.0% 97.1%
Specificity 92.0% 92.0% 81.8%
PPV 90.7% 89.2% 96.9%
NPV 80.7% 73.0% 82.8%
Accuracy 87.0% 83.5% 94.9%
Logit(P): Logistic Probabilities; PPV: Positive Predictive Value; NPV: Negative Predictive Value
Table 4: Performance of the statistical model based on the five-gene profile.