TITLE:
Log-Rank Test for Comparing Survival Curves of Neonatal Mortality Characteristic Groups in River Nile State-Sudan
AUTHORS:
Abdellateef Khalifa Hamid Ali, Amin Ibrahim Adam Mohammed
KEYWORDS:
Neonatal Mortality, Log-Rank Test, Survival Function, Kaplan-Meier Method
JOURNAL NAME:
Open Journal of Statistics,
Vol.12 No.4,
August
30,
2022
ABSTRACT: 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.