Estimate the Best Parametric Survival Models to Determine the Most Important Factors Affecting on Neonatal Mortality in Sudan

This study aimed to identify the best model of parametric survival models based on the variables that have a significant effect on neonatal mortality in Sudan. Data were collected from Omdurman Maternity Hospital, from the record of pregnant women from the first follow-up until the delivery and whether the neonate was alive or dead. The data focused on demographic variables (mother's age, number of previous delivery, region, number of neonate and the sex of neonate) and health variables (neonate weight and mode of delivery). Through log rank test the variables (age, previous delivers and weight of neonate) had a significant effect and through Chi 2 test the parametric models (Log Logistic, Log Normal, Weibull, Exponential and Gompertz) are significant. According to AIC and BIC criterion the Weibull's is the best parametric model