A Study of Heart Disease Patients by Using Log-Linear Models: A Case Study of the Paolo Memorial Samutprakarn Hospital

Abstract

Heart disease is a noninfectious disease which is on the increase throughout the
world and has become a serious problem for public health in many countries. The main
objective of this study was to test the relationship between personal and heart disease
variables by using log-linear models. In this study, the data sets were the number of heart
disease patients who were admitted between January thru December 2012 at the Paolo
Memorial Hospital. Test of independence between any two variables used the chi-square
tested and Cramer’s V. In addition, two-dimensional log-linear models were used to obtain
estimated parameters of maximal models which are the best model for this study.