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. |