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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