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Table 6 Estimated associations with low birth weight

From: Heckman-type selection models to obtain unbiased estimates with missing measures outcome: theoretical considerations and an application to missing birth weight data

Variable Low birth weight (95% CI)
MICE Heckman model
IFA: No(+)
Yes 0.0461 (−0.200; 0.292) −0.104*** (− 0.169; − 0.039)
Educational attainment: No schooling(+)
 Primary 0.073 (− 0.148; 0.294) 0.004 (− 0.027; 0.035)
 Coranic 0.039 (− 0.366; 0.444) −0.010 (− 0.069; 0.049)
 Secondary or higher −0.247 (− 0.585; 0.0910) −0.053** (− 0.101; − 0.005)
Maternal age (years): 20–34(+)
 15–19 0.883*** (0.632; 1.134) 0.126*** (0.085; 0.167)
 35–49 0.541*** (0.207; 0.875) 0.051** (0.004; 0.099)
Socioeconomic status: Most poor(+)
 Poor −0.126 (− 0.479; 0.227) −0.033 (− 0.078; 0.013)
 Middle −0.201 (− 0.526; 0.125) −0.076*** (− 0.126; − 0.025)
 Rich 0.0348 (− 0.294; 0.364) −0.051* (− 0.102; 0.000)
 Most rich −0.123 (− 0.463; 0.218) −0.074** (− 0.133; − 0.016)
Child sex: Male(+)
 Female 0.316*** (0.144; 0.487) 0.045*** (0.019; 0.070)
Previous births: 0 child(+)
 1–4 −0.498** (− 0.885; − 0.112) −0.065** (− 0.125; − 0.005)
 ≥5 −1.281*** (− 1.758; − 0.805) − 0.148*** (− 0.223; − 0.072)
Twin births: No(+)
 Yes 2.463*** (2.174; 2.752) 0.336*** (0.288; 0.385)
 observations 7325 7325
  1. *** p < 0.01. ** p < 0.05.* p < 0.1;(+) Reference category; CI Confidence interval
  2. MICE Multiple imputation by chained equation. MICE was done with 150 imputations using Stata mi estimate package