Table 1.
AFT exponential model: DLBCL, Harvard, Michigan and Duke datasets. K chosen by CV for the different methods. The min(CV (fit.error)) and the standard error of the 1000 repeated runs are shown.
| DLBCL | HARVARD | MICHIGAN | DUKE | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Method | K | error | SE | K | error | SE | K | error | SE | K | error | SE |
| PCA | 7 | 5.9975 | 0.9198 | 3 | 3.5506 | 0.6048 | 5 | 6.8389 | 1.4619 | 5 | 20.2349 | 5.7284 |
| MPLS | 3 | 2.9528 | 0.5285 | 2 | 1.2639 | 0.4307 | 3 | 3.1026 | 1.0491 | 1 | 12.4282 | 3.7951 |
| RMPLS | 3 | 2.4344 | 0.434 | 1 | 1.1679 | 0.2532 | 3 | 2.3919 | 0.7124 | 2 | 5.8008 | 2.4583 |
| RWPLS | 1 | 6.2211 | 0.8641 | 1 | 2.5704 | 0.2964 | 2 | 4.3526 | 0.9748 | 1 | 11.6507 | 2.7335 |
| RRWPLS | 1 | 5.7951 | 0.7833 | 1 | 2.6999 | 0.5653 | 2 | 3.2623 | 1.2633 | 2 | 6.9515 | 2.6657 |
| MIPLS | 3 | 3.1403 | 0.4513 | 2 | 1.1875 | 0.6105 | 2 | 3.1731 | 1.5248 | 2 | 11.8239 | 4.9705 |
| RMIPLS | 5 | 2.2963 | 0.4302 | 1 | 1.1585 | 0.2791 | 1 | 2.4789 | 1.5366 | 1 | 8.409 | 2.9436 |
| CPCR | 1 | 6.6413 | 1.1556 | 1 | 3.48 | 0.9098 | 1 | 7.2268 | 1.601 | 2 | 17.4874 | 5.3907 |
| SPCR | 1 | 6.3594 | 0.9723 | 1 | 3.8267 | 1.4767 | 1 | 10.6534 | 2.047 | 2 | 18.9023 | 5.5066 |
| UNIV | 9 | 6.5043 | 1.0576 | 9 | 2.9802 | 1.0017 | 5 | 7.1902 | 2.6427 | 4 | 17.5441 | 5.5117 |