We provide an alternative to the maximum likelihood method for making
inferences about the parameters of the logistic regression model. The
method is based appropriate permutational distributions of sufficient
statistics. It is useful for analysing small or unbalanced binary data
with covariates. It also applies to small-sample clustered binary dat
a. We illustrate the method by analysing several biomedical data sets.