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Table 2 Comparing Predictors of Death using Inverse Probability Weighting from Tracing and Imputationa

From: Treating loss-to-follow-up as a missing data problem: a case study using a longitudinal cohort of HIV-infected patients in Haiti

  Complete Case
OR (95% CI)
IPW
OR (95% CI)
MICE
OR (95% CI)
MICE with deletion
OR (95% CI)
N=735b N=7992 N = 910 N = 799
Female 0.83 (0.61, 1.13) 0.79 (0.57, 1.10) 0.83 (0.62, 1.12) 0.81 (0.60, 1.10)
Age (for 10-yr difference) 1.17 (1.00, 1.37) 1.26 (1.06, 1.51) 1.20 (1.03, 1.39) 1.20 (1.03, 1.40)
Residence 1.13 (0.81, 1.56) 1.28 (0.90, 1.82) 1.18 (0.87, 1.60) 1.17 (0.85, 1.61)
Severe poverty 1.78 (1.2, 2.44) 1.59 (1.14, 2.24) 1.74 (1.27, 2.37) 1.71 (1.25, 2.34)
CD4 (for 100-cell difference) 0.86 (0.74, 1.00) 0.86 (0.75, 0.99) 0.85 (0.73, 0.98) 0.84 (0.72, 0.98)
Baseline Weight (for 10-kg difference) 0.67 (0.58, 0.79) 0.69 (0.56, 0.83) 0.65 (0.56, 0.76) 0.66 (0.57, 0.77)
WHO stage 2.19 (1.60, 3.00) 2.19 (1.56, 3.06) 2.18 (1.62, 2.95) 2.19 (1.61, 2.98)
Baseline Tuberculosis 1.97 (1.20, 3.22) 1.92 (1.13, 3.25) 1.98 (1.23, 3.18) 1.95 (1.21, 3.15)
  1. aModels were constructed with only one covariate
  2. bFor the CD4 only model N = 671; Baseline weight model N = 671
  3. 2For the CD4 only model N = 710
  4. p -value ≤ 0.05