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. 2022 Mar 31;19(7):4135. doi: 10.3390/ijerph19074135

Table 6.

Expressing the effect of cavity outline and extension parameter on gender, CGPA, Group A and Group B using binary logistic regression analysis.

Parameter Variables B S.E. Wald df Sig. Exp (B) 95% C.I. for EXP (B)
Lower Upper
Cavity outline and extension Gender −1.65 1.18 1.93 1 0.164 0.19 0.01 1.96
CGPA 1.72 0.99 3.04 1 0.081 5.62 0.80 3.14
Group A −2.15 1.02 4.40 1 0.036 0.11 0.01 0.86
Group B 0.33 0.82 0.16 1 0.684 1.39 0.28 6.97
Constant −4.60 4.89 0.88 1 0.347 0.01