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Table 1 Absolute frequencies, outcome prevalences, exposure prevalences, crude and pooled prevalence ratio (PR) estimates, and relative confounding for the analysis of the original data using underweight (weight for age Z-score < -2) as the outcome, previous hospitalization as the risk factor and low birth weight as confounder (situation 1 original).

From: Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio

First stratum: Normal birth weight
  Underweight Normal All  
  N Prev. N N Exp. prev. = 19.2%
Ever in hospital 8 4.7% 163 171 PR = 2.40
Never 14 1.9% 704 718 M-H weight = 2.69
All 22 2.5% 867 889  
Second stratum: Low birth weight
  Underweight Normal All  
  N Prev. N N Exp. prev. = 31.1%
Ever in hospital 16 13.4% 103 119 PR = 2.54
Never 14 5.3% 250 264 M-H weight = 4.35
All 30 7.8% 353 383  
Combined strata: Normal and low birth weight
  Underweight Normal All Exp. prev. = 22.8%
  N Prev. N N PR (crude) = 2.90
Ever in hospital 24 8.3% 266 290 PR (M-H) = 2.48
Never 28 2.9% 954 982 Confounding = -14.4%
All 52 4.1% 1220 1272 P-value(het)*= 0.9
  1. * P-value for testing heterogeneity of the prevalence ratios across strata.