Getting Started With PROC Logistic

Abstract

Logistic Regression is an increasingly popular analytic tool. Used to predict the probability that the 'event of interest' will occur as a linear function of one (or more) continuous and/or dichotomous independent variables, this technique is implemented in the SAS® System in PROC LOGISTIC. This paper gives an overview of how some common forms of logistic regression models can be implemented using PROC LOGISTIC as well as important changes and enhancements to the procedure in Releases 6.07 and above of the SAS® System, as well as new features available in Version 8.