In this article, we focus our work on the modeling of genetic risk factors on ischemic strokes occurred. To do this, logistic regression was widespread in our study. We proceeded in two stages: the first, we modeled the probability of the occurrence of ischemic stroke in an individual (i) based on genetic risk factors. Our sample consisted of 330 individuals aged at least 40 years, divided into 165 patients who had an ischemic stroke and 165 controls.
We applied the Wald test for all variables in the model one by one and we concluded to Reject H0, since the coefficients of our variables are not all zero.
In a second step, we studied the effects of these variables on the risk factors and then the effect of variables on Ischemic stroke to present the model equation.
We set a prediction threshold after specification test, that allows us to ensure the quality of the fit of the model and its degree of prediction, the proportion of people who have ischemic stroke is (50%). The results showed that 128 of 156 people with Ischemic stroke allowed a positive predictive value of 82%. We conclude that the prediction rate and the success rate of our model is 80.30 %, the results obtained with the «XLSTAT» software show a very good model with (sensitivity 78% and specificity 83%).