Table 3.

Uni- and multivariable linear regression model of the virtual-postoperative RMSE, MSD, and HD results and possible confounding factors.

Factor	Root mean square error		Mean surface distance		Hausdorff distance
	p-value	95% CI	p-value	95% CI	p-value	95% CI
Univariable linear regression model
Gender	0.173	-1.561–0.286	0.056	-1.246–0.017	0.148	-0.874–0.135
Age	<0.001	-0.094–(-0.046)	<0.001	-0.054–(-0.018)	<0.001	-0.051–(-0.024)
Indication	<0.001	0.253–0.696	0.026	0.023–0.353	<0.001	0.165–0.402
Dignity	0.047	0.015–1.987	0.001	0.461–1.767	0.223	-0.210–0.886
Mandibular defect type	<0.001	1.092–1.916	<0.001	0.568–1.192	<0.001	0.638–1.075
Number of bone segments	0.416	-1.008–0.421	0.908	-0.526–0.468	0.577	-0.502–0.282
Multivariable linear regression model
Age	0.01	-0.055–(-0.016)	0.109	-0.029–0.003	0.001	-0.029–(-0.007)
Indication	0.004	0.123–0.602	0.022	0.034–0.426	0.006	0.057–0.331
Dignity	<0.001	1.076–2.654	<0.001	1.056–2.347	/	/
Mandibular defect class	<0.001	0.597–1.391	<0.001	0.298–0.947	<0.001	0.342–0.796