Author(s)

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

¹Department of Statistics, Faculty of Mathematical Science, Al-Fashir University, Al Fashir, Sudan.
²Department of Statistics, Faculty of Economic and Social Studies, Omdurman Islamic University, Omdurman, Sudan.

This paper concerns the Log-rank test for comparing survival curves of neonatal mortality characteristic groups in River Nile State, Sudan. In this paper, log-rank test is used to compare two or more survival curves for the characteristics of newborn associated with newborn death after using Kaplan-Meier methods to estimate and graph survival curves for the variable of interest as (sex of newborn, weight of newborn, gestational age, mode of delivery and resident type), at the hospital of River Nile state—Sudan, with a sample size 700 of newborn in which the admission to the Neonatal Intensive Care Unit (NICU) of those hospitals during the period 2018-2020. In term of risk of death for newborn we found that 25% of sample study for newborns who were born in River Nile State-Sudan died. In addition, we conclude that after the log-rank statistics and Kaplan-Meier methods were applied, gender does not affect the newborn’s risk of survival, while the risk of survival increases when the birth weight is greater than 4.35 kg and the gestational age is greater than 42 weeks. There is no difference in the probability of survival for newborns whether the delivery is normal or cesarean. However, newborns are significantly more likely to survive in urban areas than in rural areas.

Neonatal Mortality, Log-Rank Test, Survival Function, Kaplan-Meier Method

Ali, A. and Mohammed, A. (2022) Log-Rank Test for Comparing Survival Curves of Neonatal Mortality Characteristic Groups in River Nile State-Sudan. Open Journal of Statistics, 12, 532-547. doi: 10.4236/ojs.2022.124032.