| Summary: | This thesis investigates the consistency and asymptotic normality of the maximum
likelihood estimator in dichotomous logistic regression models. The consistency is
proved under hypotheses which allow the number of exogenous variables p to grow
along with the sample size �. Conditions on the interdependence of � and n necessary
for the consistency of the estimator are established. The asymptotic normality is
proved in the case where � is constant. Some aspects on the motivation and the
origins of the model are presented at the beginning. Finally , a short example based
on a medical study outlines the application of the logistic regression model. Heart
disease is one of the deadly disease with a high presenstase. For that needs to be
addressed so as to reduce deaths from the disease. Based on this research to obtain the
factors that cause heart attacks. In this study, the cause of coronary heart disease is
divided into three factors including, cholesterol, blood sugar and cigarettes.
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