Table 1. Logistic regression of MAGL protein levels and degrees of tumor differentiation.
| Effect | Model Fitting Criteria | Likelihood Ratio Tests |
||
|---|---|---|---|---|
| −2 Log Likelihood of Reduced Model | Chi-Square | df | Sig. | |
| Intercept | 296.001 | 68.217 | 4 | 0.000 |
| AFP | 243.812 | 16.028 | 4 | 0.003 |
| Tumor embolus | 234.274 | 6.490 | 4 | 0.165 |
| IOD Value | 452.683 | 224.899 | 4 | 0.000 |
| Tumor Number | 230.108 | 2.324 | 4 | 0.676 |
| Tumor size | 235.146 | 7.362 | 4 | 0.118 |
| TNM stage | 242.9437 | 15.159 | 4 | 0.004 |
The chi-square statistic indicating a difference in −2 log-likelihoods between the final model and a reduced model. The reduced model is formed by omitting an effect from the final model. The null hypothesis is that all parameters of that effect are 0.