Model-Building Approach in Multiple Binary Logit Model for Coronary Heart Disease

This paper develops a procedure to find the best model. an illustration of the modelbuilding approach in “multiple binary logit” analysis has been introduced. the dependent variable of multiple binary logit model is a qualitative nature (taking a value of 0 or 1). besides introducing multiple single independent variables into the model, all possible combinations of generated interaction variables are included in the model. in order to obtain a set of selected models, a progressive elimination (one by one, least significant first) of the insignificant variables is employed.