Comparison between linear and nonlinear regression models to study the Causes of Death in Preterm babies in Babylon

Abstract

The mine goal of this study is to make a comparison between linear and nonlinear regression models in order to choose the best one, The models have been applied in several ways method,Forward,Backward and Enter, was applied to determine the significant explanatoty variables affecting the independent variables preterm babies death . An additional statistical tests are utilized for this reason sueh as coefficient of determination. Goodness of fit test and mean error squares statistic. Babylon health directorate is the source of the data used in this study. One of the main findings of this study appearse the logarithmis regression model with beter significancy and the explanatory variables pregnancy period infant, weight, infant age, type of delivery (caesarean or normal delivary) .