Table 3.
Results from the final multivariable logistic regression model (obtained after applying a backward selection procedure with 0.157 as the critical level for a P-value to remain in the model) and results from the bootstrap resampling procedure.
| Estimate | Odds ratio (95% CI) | P-value | BIF | |
|---|---|---|---|---|
| Age (years) | −0.031 | 0.968 (0.934–1.003) | 0.0748 | 62 |
| Female versus male | −0.499 | 0.599 (0.369–0.973) | 0.0384 | 82 |
| Optimal apical area | −0.384 | 0.690 (0.429–1.108) | 0.1242 | 61 |
| Canine magnification | 0.585 | 1.801 (1.101–2.947) | 0.0192 | 82 |
| Open canine apex | −1.380 | 0.250 (0.151–0.413) | <0.0001 | 100 |
| Type of impaction (Horizontal versus vertical) | −0.532 | 0.605 (0.309–1.186) | 0.1436 | 38 |
| Detection of abnormality | 0.434 | 1.530 (0.899–2.605) | 0.1172 | 53 |
| Canine angulation to the midline | 0.018 | 1.018 (1.000–1.036) | 0.0523 | 50 |
| Vertical canine crown position | 0.0241 | 90 | ||
| Above middle third | 0.837 | 2.282 (1.104–4.715) | 0.0259 | |
| In the middle third | 0.118 | 1.133 (0.605–2.123) | 0.6959 | |
| Intercept | −0.671 |
Estimate, estimates on the logit scale; CI, confidence interval; BIF, bootstrap importance frequency, which indicates the percentage of the specific predictor that retained in the final model (bootstrap). The AUC of the final model equals 0.744 (95% CI: 0.695–0.794).