Author(s)

Abdellateef Khalifa Hamid Ali^1*, Amin Ibrahim Adam Mohammed²

¹Faculty of Mathematical Science, El-Fashir University, El-Fashir, Sudan.
²Faculty of Economics & Political Sciences, Omdurman Islamic University, Omdurman, Sudan.

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.

Neonatal Mortality, Cox Proportional Hazard Model, Survival Function, Haz-ard Function, Kaplan-Meier Method

Hamid Ali, A. and Mohammed, A. (2022) Cox Proportional Hazard Model for Survival Time of Neonatal Mortality in Neonatal Intensive Care Unit of Hospitals in River Nile State-Sudan. Open Journal of Statistics, 12, 634-657. doi: 10.4236/ojs.2022.125038.