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

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