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Table 2 Effects of child characteristics on death outcome upon fitting full logit model to MDHS data

From: Impact of ignoring sampling design in the prediction of binary health outcomes through logistic regression: evidence from Malawi demographic and health survey under-five mortality data; 2000-2016

 

Unweighted Full Logit Model

Weighted Full Logit Model

 

2004 DHS

2010 DHS

2015 DHS

2004 DHS

2010 DHS

2015 DHS

Variable

aOR (p-value)

aOR (p-value)

aOR (p-value)

aOR (p-value)

aOR (p-value)

aOR (p-value)

Child’s Sex

      

      Male\(*\)

      

      Female

0.75 (\(<0.0001\))

0.85 (0.007)

0.81 (0.019)

0.82 (0.025)

0.86 (0.030)

0.80 (0.016)

Birth order

      

      1\(*\)

      

      2-5

1.24 (0.076)

1.14 (0.189)

0.93 (0.582)

1.25 (0.067)

1.09 (0.325)

0.91 (0.492)

      6+

0.80 (0.067)

0.92 (0.325)

1.09 (0.492)

0.81 (0.076)

0.88 (0.189)

1.08 (0.582)

Caesarean birth

      

      No\(*\)

      

      Yes

1.32 (0.249)

1.46 (0.010)

1.65 (0.003)

1.18 (0.633)

1.35 (0.077)

1.64 (0.011)

Delivery type

      

      Singleton \(*\)

      

      Multiple

5.62 (\(<0.0001\))

4.62 (\(<0.0001\))

4.78 (\(<0.0001\))

5.90 (\(<0.0001\))

4.48 (\(<0.0001\))

4.69 (\(<0.0001\))

Birth place

      

      Home or other \(*\)

      

      Health facility

0.99 (0.951)

1.05 (0.482)

0.81 (0.129)

1.07 (0.507)

1.02 (0.809)

0.82 (0.205)

Maternal age

      

      <20 \(*\)

      

      20-34

1.04 (0.903)

1.50 (0.277)

1.18 (0.751)

0.99 (0.975)

1.35 (0.418)

1.21 (0.729)

      35-49

1.42 (0.345)

2.24 (0.033)

1.56 (0.406)

1.39 (0.406)

1.97 (0.070)

1.54 (0.453)

Preceding birth-interval

      

      <24 months \(*\)

      

      24 to 36 months

0.54 (\(<0.0001\))

0.46 (\(<0.0001\))

0.55 (\(<0.0001\))

0.55 (\(<0.0001\))

0.47 (\(<0.0001\))

0.54 (\(<0.0001\))

      > 36 months

0.44 (\(<0.0001\))

0.43 (\(<0.0001\))

0.40 (\(<0.0001\))

0.43 (\(<0.0001\))

0.47 (\(<0.0001\))

0.39 (\(<0.0001\))

Contraceptive use

      

      Not using \(*\)

      

      Using

0.65 (\(<0.0001\))

0.71 (\(<0.0001\))

0.61 (\(<0.0001\))

0.63 (0.0001)

0.71 (\(<0.0001\))

0.58 (\(<0.0001\))

Maternal educ

      

      No education \(*\)

      

      Primary

0.93 (0.435)

1.06 (0.452)

1.16 (0.258)

0.91 (0.323)

1.02 (0.835)

1.18 (0.249)

      Secondary or above

0.60 (0.815)

0.91 (0.447)

1.08 (0.663)

0.71 (0.189)

0.80 (0.145)

1.10 (0.621)

Maternal job status

      

      Not working \(*\)

      

      Working

1.02 (0.815)

1.10 (0.139)

1.4117 (0.001)

1.02 (0.857)

1.10 (0.203)

1.39 (0.004)

Residence

      

      Urban \(*\)

      

      Rural

1.24 (0.171)

0.87 (0.226)

1.28 (0.101)

1.32 (0.165)

0.91 (0.448)

1.26 (0.173)

Region

      

      Northern \(*\)

      

      Central

1.12 (0.419)

1.23 (0.039)

1.1974 (0.177)

1.15 (0.374)

1.33 (0.008)

1.17 (0.265)

      Southern

1.16 (0.290)

1.44 (\(<0.0001\))

1.08 (0.535)

1.29 (0.101)

1.55 (\(<0.0001\))

1.11 (0.430)

AIC

4786.21

7904.79

4285.79

-

-

-

  1. aOR = adjusted odds ratio; \(``*''\) = reference level; \(``-''\) implied weighted model output did not include AIC nor log-likelihood value