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Table 5 Bayesian analyses results

From: Clinics register based HIV prevalence in Jimma zone, Ethiopia: applications of likelihood and Bayesian approaches

Coefficients

Adjusted odds ratio (95% Credible interval)

Women

Men

Full Data

Intercept

0.035 (0.021, 0.058)

0.037 (0.023, 0.061)

0.039 (0.027, 0.056)

Age (ref: \(\ge\)50)

   

 15–19

1.740 (1.195, 2.536)

1.820 (1.273, 2.604)

1.784 (1.376, 2.312)

 20–24

0.706 (0.513, 0.969)

0.923 (0.677, 1.257)

0.815 (0.653, 1.017)

 25–49

0.908 (0.667, 1.236)

1.119 (0.835, 1.498)

1.017 (0.823, 1.256)

Gender (ref: Male)

   

  Female

  

0.860 (0.750, 0.986)

Marital status (ref: Single)

   

  Married

1.680 (1.258, 2.245)

1.514 (1.143, 2.005)

1.594 (1.303, 1.950)

  Divorced

1.518 (1.105, 2.087)

1.424 (1.045, 1.940)

1.483 (1.188, 1.852)

  Widowed

1.665 (1.162, 2.387)

1.371 (0.959, 1.962)

1.515 (1.176, 1.953)

Education level (ref: No education)

   

  Primary

1.637 (1.290, 2.079)

1.474 (1.164, 1.866)

1.546 (1.307, 1.828)

  Secondary

1.329 (1.009, 1.753)

1.125 (0.854, 1.482)

1.210 (0.996, 1.470)

  Superior

1.320 (0.872, 2.001)

1.157 (0.767, 1.747)

1.238 (0.926, 1.657)

Occupation (ref: No job)

   

  Daily laborer

1.163 (0.876, 1.542)

1.246 (0.938, 1.652)

1.211 (0.992, 1.479)

  Farmer

1.081 (0.795, 1.470)

1.451 (1.057, 1.993)

1.249 (1.002, 1.557)

  Government employee

1.006 (0.617, 1.648)

1.402 (0.883, 2.227)

1.215 (0.870, 1.700)

  Merchant

1.232 (0.880, 1.726)

1.162 (0.833, 1.620)

1.189 (0.938, 1.506)

Religion (ref: Muslim)

   

  Orthodox

0.893 (0.681, 1.171)

0.870 (0.664, 1.140)

0.879 (0.727, 1.064)

  Protestant

0.691 (0.555, 0.859)

0.724 (0.584, 0.896)

0.703 (0.604, 0.819)

Residence (ref: Rural)

   

 Urban

1.133 (0.932, 1.378)

1.291 (1.063, 1.569)

1.213 (1.057, 1.392)

Condom use (ref: Yes)

   

  No

76.470 (61.875, 95.121)

68.848 (56.093, 84.997)

71.307 (61.538, 82.863)

Random effects

SD

Median

95% Credible interval

\(\sigma _b\) for women

0.0847

0.3164

(0.1815, 0.5147)

\(\sigma _b\) for men

0.0918

0.2847

(0.1358, 0.4957)

\(\sigma _b\) for full data

0.0690

0.2928

(0.1847, 0.4560)