Fits logistic regression models to binary data and computes hypothesis tests for model parameters. Computes estimates of means, totals, proportions, percentages, geometric means, quantiles, and their standard errors. It can be used to calculate a valid t-test. Arithmetical transformations of the data can be specified in the command language, which means that standard errors can be calculated for arbitrary sums, differences, products, and quotients. Estimates of medians and other quantiles.
Parameters estimates and tests of hypotheses.