Determine the most important factors affecting breast cancer using the logistic regression model

Abstract

The most important reference that this search refers to is the usage of the Logistic Regression function in binary data analysis of the research response. The study of breast cancer has been done through the practical side by using 200 patients' charts. The dependent variables of the study outline two responses: either the patient is under control or dead. The variables explained in the research are eight. In the search are eight variables.The experimental side of the second part refers to the results of the theoretical simulation program which are: the Maximum Likelihood (ML) and the Minimum chi-square (MCS), accordingly, the estimation of the parameters of using methods of the models have been determined by the sum of the square errors of the models.