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Table 4 The best fitting Cox proportional hazards model

From: Application of random survival forests in understanding the determinants of under-five child mortality in Uganda in the presence of covariates that satisfy the proportional and non-proportional hazards assumption

Variable

β (s.e)

HR [95% CI]

p values

Father’s education

 Illiterate

1

  

 Primary

−0.09 (0.09)

0.90 \(\left[ 0.75 ,1.09\right]\)

0.31

 Secondary and higher

−0.41 (0.17)

0.66 \(\left[ 0.47,0.92\right]\)

0.014

Sex of the child

 Male

1

  

 Female

−0.18 (0.09)

0.83 \(\left[ 0.69, 0.99\right]\)

0.04

Number of births in the past 1 year

 No birth

1

  

 1 birth

0.20 (0.09)

1.22 \(\left[ 1.01,1.48\right]\)

0.04

 2 births

0.922( 0.45)

2.51 \(\left[ 1.04, 6.09\right]\)

0.04

Household head

 Male

1

  

 Female

0.28 (0.10)

1.33 \(\left[ 1.09,1.62\right]\)

0.01

Mother’s age group

 Less than 20 years

1

  

 20–29

−0.38 (0.19)

0.68 \(\left[ 0.46 ,1.01 \right]\)

0.05

 30–39

−0.27 (0.20)

0.77 \(\left[ 0.51,1.14 \right]\)

0.17

 40+

−0.05 (0.24)

0.95 \(\left[ 0.59,1.51 \right]\)

0.83