Exact Logistic Regression. It is useful for analysing small or unbalanced binary data with covariates. The theory of exact logistic regression also known as exact conditional logistic regression was originally laid out by Cox 1970 and the computational methods employed in PROC LOGISTIC are described in Hirji Mehta and Patel 1987.
Derr SAS Institute Inc Cary NC ABSTRACT Exact logistic regression has become an important analytical technique especially in the pharmaceuti-cal industry since the usual asymptotic methods for analyzing small skewed or sparse data sets are un-reliable. Mehta Patel and Senchaudhuri 1992. Mehta Patel and Senchaudhuri 1992.
Abstract We provide an alternative to the maximum likelihood method for making inferences about the parameters of the logistic regression model.
The EXACT statement performs exact tests of the parameters for the specified effects and optionally estimates the parameters and outputs the exact conditional distributions. We can choose from three types of logistic regression depending on the nature of the categorical response variable. Nov 30 2010 Here we demonstrate exact logistic regression. The EXACT statement performs exact tests of the parameters for the specified effects and optionally estimates the parameters and outputs the exact conditional distributions.
