Table 7 Factors associated with attritions, recessions and the occurrence of a diastema based on a binary logistic regression
Regression coefficient B | SD | Wald | df | Sig | Exp(B) | 95% CI for EXP(B) | ||
|---|---|---|---|---|---|---|---|---|
Min | Max | |||||||
Binary logistic regression for attritions | ||||||||
Gender | 1.096 | 0.625 | 3.073 | 1 | 0.080 | 2.992 | 0.879 | 10.185 |
Age | 0.074 | 0.033 | 4.953 | 1 | 0.026 | 1.077 | 1.009 | 1.150 |
Constant | − 4.753 | 1.099 | 18.710 | 1 | 0.000 | 0.009 | ||
Binary logistic regression for recessions | ||||||||
Gender | 0.703 | 0.393 | 3.206 | 1 | 0.073 | 2.019 | 0.936 | 4.358 |
Age | 0.062 | 0.028 | 5.057 | 1 | 0.025 | 1.064 | 1.008 | 1.123 |
Constant | − 3.096 | 0.759 | 16.632 | 1 | 0.000 | 0.045 | ||
Binary logistic regression for the occurrence of a diastema | ||||||||
Gender | 0.150 | 0.356 | 0.178 | 1 | 0.673 | 1.162 | 0.578 | 2.335 |
Age | 0.040 | 0.026 | 2.234 | 1 | 0.135 | 1.040 | 0.988 | 1.096 |
Constant | − 2.034 | 0.691 | 8.660 | 1 | 0.003 | 0.131 | ||