Cox regression model for lifetime of a newborn baby (neonates) in Dr. Saiful Anwar Malang Hospital

Indonesia is one country that has a quite high birth rate and a high infant mortality rate. Various cases of newborn baby (neonates) death indicated caused by various factors such as low birth weight, low gestational age and low apgar scores. Cox regression is a method for modeling the relationship between a response variable in the form survival time with one or more predictor variables that are discrete or continuous. This paper proposes a model of the relationship between lifetime of newborn baby (neonates) with the predictor variables are birth weight, apgar scores and gestational age of neonates with Cox regression. The model is developed based on the data from a lifetime of newborn baby (neonates) were observed in DR. Saiful Anwar Malang Hospital. The results have succed to demonstrated Cox regression models for lifetime of a newborn baby (neonates) with the most suitable distribution is normal and has an average lifetime of 3.94406 days. Based on the test parameters model is known that a very close connection between lifetime of neonates with birth weight, apgar score and gestational age of neonates in which the positive association connection. Feasibility values of the Cox regression model were obtained AIC=655.936, Q²_adjusted =0.968 and Cox- Snell residual=6.888.