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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