Estimate the recurrence of myocardial infarction model using passion rate

Abstract

The cardiovascular diseases are the main cause of death among males and females at the global level and on this basis this research fecuses to estimate the recurrence of myocardial infraction rate was focused during the period of time for people over the age of 62, through the construction of Poisson regression model. Since the variable response which should be estimate the numerical data in the light of a number of explanatory variables of age, sex, weight, pressing, sugar, cholesterol as the impact of the explanatory variables on the response variable non-linear effects. The logarithmic linear regression model has been used which is a special case of the general linear model and the statement of goodness of fit and implementation of all the appreciation and analysis requirements using a program Statistic aversion 6 . It was also found that the most important variables that play a role in the infection rate are age and pressing, sugar has been also find a relative risk of injury by sex and age group