Table 3: Logistic regression for the probability estimative of patients undergoing extraction to be at higher risk of ARR in the comparison between Group 1 and 2.

N=600	Model: logistic regression (logit) N of 0’s: 93 (DADOS DISSERTACAO Dep. var: Grupo T1 Loss: Max likelihood (MS-err. Scaled to 1) Final loss: 249. 19946411 Chi2(1)=19.143 p=.00001
	Const. B0	Exodontia
Estimate	-2.197225	1.000172
Standard Error	0.1785125	0.2327512
t(598)	-12.30852	4.297174
p-level	0	0.0000201912
-95%CL	-2.547812	0.5430631
+95%CL	-1.846637	1.457281
Wald’s Chi-square	151.4997	18.4657
p-level	0	0.00001735002
Odds ratio (unit ch)	0.1111111	2.71875
-95%CL	0.07825268	1.721271
+95%CL	0.1577668	4.294269
Odds ratio (range)	-	2.71875
-95%CL	-	1.721271
+95%CL	-	4.294269