Cox Proportional Hazard model is a popular
statistical technique for exploring the relationship between the survival time
of neonates and several explanatory variables. It provides an estimate of the
study variables’ effect on survival after adjustment for other explanatory
variables, and allows us to estimate the hazard (or risk) of death of newborn
in NICU of hospitals in River Nile
State-Sudan for the period (2018-2020). Study Data represented (neonate gender, mode of delivery, birth type, neonate weight, resident type, gestational age, and
survival time). Kaplan-Meier method is used to estimate survival and hazard
function for survival times of newborns that have not completed their first
month. Of 700 neonates in the study area, 25% of them died during 2018-2020. Variables of interest that had a
significant effect on neonatal death by Cox Proportional Hazard Model
analysis were neonate weight, resident type, and gestational age. In Cox
Proportional Hazard Model analysis all the variables of interest had an effect
on neonatal death, but the variables with a significant effect included, weight
of neonate, resident type and gestational age.
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