Table 4 Multiple linear regression analysis.
From: Precise multi-factor immediate implant placement decision models based on machine learning
B | β | t | p | VIF | |
|---|---|---|---|---|---|
Constant | -1.631 | - | -9.426 | 0.000* | - |
Bone quality = hard | 2.629 | 0.627 | 24.324 | 0.000* | 1.333 |
Bone quality = medium | 0.651 | 0.155 | 6.024 | 0.000* | 1.333 |
Implant apex design = nobel active | 0.708 | 0.169 | 6.548 | 0.000* | 1.333 |
Implant apex design = nobel parallel CC | 0.269 | 0.064 | 2.485 | 0.013* | 1.333 |
Osteotomy preparation protocol = undersized | 1.349 | 0.341 | 15.288 | 0.000* | 1 |
Intraosseous depth | 0.75 | 0.62 | 27.758 | 0.000* | 1 |
Dependent variable: Box-cox (Max IT) | |||||
