Introduction to Regression Procedures

Logistic Regression: The LOGISTIC Procedure

PROC LOGISTIC fits logistic regression models and estimates parameters by maximum likelihood. The procedure fits the usual logistic regression model for binary data in addition to models with the cumulative link function for ordinal data (such as the proportional odds model) and the generalized logit model for nominal data. PROC LOGISTIC offers a number of variable selection methods and can perform conditional and exact conditional logistic regression analysis.