The authors developed a SAS macro to automate the building of selected second and third order interaction terms of dichotomous variables and the process of the hierarchical backward elimination method in PROC LOGISTIC to build several logistic regression models. The macro creates needed interaction effects, includes them in the data set, and performs the hierarchical backward elimination method until a final logistic regression model is reached. A system option of LS=132 is required to accurately read and extract needed components from PROC LOGISTIC output.
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