Table 2.
pmax | Variables | Regressions | Brier score | Sensitivity (%) | Specificity (%) | Tumor size |
1 | 1 | 1 | 26.13 (0.47) | 39.6 | 90 | No |
2 | 6 | 5 | 26.24 (1.43) | 54.2 | 86 | No |
3 | 15 | 11 | 25.8 (1.83) | 62.5 | 87 | No |
4 | 12 | 8 | 20.4 (1.51) | 75 | 88 | No |
5 | 11 | 7 | 15 (1.52) | 79.2 | 93 | No |
6 | 17 | 11 | 13.5 (1.47) | 85.4 | 93 | No |
7 | 20 | 11 | 10.1 (1) | 89.6 | 96 | No |
8 | 53 | 51 | 9 (0.74) | 85.4 | 98 | No |
9 | 68 | 69 | 7.61 (0.85) | 91.2 | 97 | No |
10 | 166 | 173 | 6.04 (0.48) | 91.2 | 99 | No |
11 | 60 | 69 | 5.69 (0.64) | 97.9 | 99 | Yes |
12 | 391 | 1000 | 4.58 (0.51) | 95.8 | 98 | Yes |
13 | 341 | 1000 | 4.17 (0.56) | 97.9 | 100 | Yes |
14 | 465 | 1000 | 3.18 (0.36) | 99 | 100 | Yes |
15 | 460 | 1000 | 3.55 (0.4) | 97.9 | 100 | Yes |