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Table 3 Adjusted odds ratios for the survey logistic regression models under (a) complete case analysis and (b) multiple imputations analysis

From: Multiple imputation for non-response when estimating HIV prevalence using survey data

Paramter (a) Complete case analysis (b) Multiple imputations analysis
OR 95 % CI OR 95 % CI
Intercept 0.030 (0.021, 0.041) 0.037 (0.025, 0.055)
Gender
  Female Ref.   Ref.  
  Male 0.924 (0.631, 1.354) 0.812 (0.561, 1.175)
Age Group
  15 – 19 Ref.   Ref.  
  20 – 24 2.314 (1.689, 3.171) 2.659 (2.000, 3.534)
  25 – 29 4.478 (3.293, 6.089) 5.380 (4.029, 7.183)
  30 – 34 6.286 (4.730, 8.857) 7.957 (5.948, 10.643)
  35 – 39 6.472 (4.550, 8.684) 7.936 (5.797, 10.865)
  40 – 44 3.981 (2.778, 5.705) 5.007 (3.511, 7.140)
  45 – 49 3.171 (2.191, 4.589) 4.453 (3.127, 6.340)
  50 - 54 4.325 (2.746, 6.812) 4.468 (1.050, 19.019)
Marital Status
  Single Ref.   Ref.  
  Married 1.182 (0.973, 1.437) 0.842 (0.726, 0.976)
  Divorced 2.535 (1.990, 3.230) 1.658 (1.238, 2.220)
  Widowed 6.605 (5.017, 8.695) 4.464 (3.581, 5.564)
Literacy
  Non literate Ref.   Ref.  
  Partially 1.662 (1.258, 2.194) 1.503 (1.094, 2.064)
  Literate 1.280 (1.022, 1.602) 1.194 (0.905, 1.576)
Place of Residence
  Rural Ref.   Ref.  
  Urban 1.251 (1.117, 1.401) 1.224 (1.084, 1.382)
Age Group*Gender
  15 – 19:Male Ref.   Ref.  
  20 – 24:Male 0.447 (0.268, 0.745) 0.566 (0.346, 0.925)
  25 – 29:Male 0.583 (0.370, 0.919) 0.637 (0.417, 0.972)
  30 – 34:Male 0.653 (0.416, 1.026) 0.732 (0.449, 1.194)
  35 – 39:Male 1.044 (0.662, 1.648) 1.129 (0.751, 1.696)
  40 – 44:Male 1.818 (1.109, 2.979) 1.808 (1.069, 3.058)
  45 – 49:Male 2.734 (1.636, 4.571) 2.498 (1.578, 3.955)