Table 2.
Fit statistics of multinomial logit models for cervical stage prediction.
| Model | Likelihood-ratio chi-square statistic (P value) | df | R 2 MF | Correct classification rate (%) |
|---|---|---|---|---|
| Model 1: (CA) | 74.653 (<0.001)∗ | 5 | 0.383 | 50.9 |
| Model 2: (IGF-1) | 28.087 (<0.001)∗ | 5 | 0.144 | 38.2 |
| Model 3: (ALP) | 22.335 (<0.001)∗ | 5 | 0.114 | 34.5 |
| Model 4: (CA+IGF-1) | 91.958 (<0.001)∗ | 10 | 0.471 | 58.2 |
| Model 5: (CA+ALP) | 91.784 (<0.001)∗ | 10 | 0.470 | 65.5 |
| Model 6: (IGF-1+ALP) | 46.484 (<0.001)∗ | 10 | 0.238 | 47.3 |
| Model 7: (CA+IGF-1+ALP) | 107.802 (<0.001)∗ | 15 | 0.552 | 70.9 |
∗ P < 0.05 considered significant.