Evaluation of logistic regression on mode of the delivery of expectant mothers

Author(s): Balogun Oluwafemi Samson

Abstract

The aim of the study is to obtain a Logistic Regression that can be used to classify the mode of delivery of pregnant women using some variables. Data from Health Records of 184 Pregnant women who delivered at the General Hospital, Wuse were used. The data consist of Mother’s Weight, Height, Age and Baby’s Weight, Baby’s Gender and mode of delivery (Natural birth and Caesarian Section). In literature the author discovered that the discriminant analysis cannot handle mixed data (discrete and continuous data) effectively instead logistic regression better fit the data. The model correctly classified 65.8% original grouped cases with positive and negative predictive values 65.75% and 68.70% respectively, which are higher than values obtained under the discriminant analysis.

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