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Table 2 Model Summary for classical approach

From: Bayesian model with application to a study of dental caries

Logistic

Robust Poisson

Variables

Estimate(S.E.)

OR

95%CI

p-value

RR

95%CI

p-value

Intercept

1.723 (0.203)

5.600

1.3313, 2.1259

< 2e-16 ***

0.822

−0.350, − 0.043

4.705e-10 ***

Gender(ref = Female)

 Male

−0.2037 (0.0786)

0.8157

−0.3582,-0.0502

0.009502 **

0.974

−0.081, 0.028

0.007982 **

Residence (ref = urban)

 Rural

−0.3701 (0.0813)

0.6907

−0.5290,-0.2103

5.30e-06 ***

0.951

−0.110, 0.009

1.536e-05 ***

Region(ref = others)

 SNNPR

0.4943 (0.0970)

1.6393

0.3023,0.6827

3.47e-07 ***

1.081

−0.0012, 0.158

7.055e-06 ***

Age group(ref = < 18)

 18–25

− 0.48289 (0.12817)

0.6170

− 0.7387,-0.2357

0.000165 ***

0.945

−0.137, 0.0255

4.203e-05 ***

 26–35

− 0.32040 (0.13420)

0.7259

− 0.5873,-0.0606

0.016969 *

0.966

−0.119, 0.051

0.015609 *

  > =35

− 0.2884 (0.1376)

0.7494

− 0.56156,-0.0215

0.036091 *

0.970

− 0.117, 0.057

0.038829 *

Clean Teeth(ref = no)

 Yes

0.38855 (0.14164)

1.4748

0.10399,0.6600

0.006082 **

1.061

−0.0545, 0.177

0.017764 *

  1. *p < 0.05
  2. **p < 0.01
  3. ***p < 0.001