PROBIT Procedure
The PROBIT procedure calculates maximum likelihood estimates of regression parameters and the natural (or threshold) response
rate for quantal response data from biological assays or other discrete event data. This includes probit, logit, ordinal logistic,
and extreme value (or gompit) regression models. The following are highlights of the PROBIT procedure's features:
 performs chisquare tests for model effects that test Type I, Type II, or Type III hypotheses
 provides amechanism for performing custom hypothesis tests
 produces a display of the fitted model and provides options for changing and enhancing the displays
 plots the predicted cumulative distribution function (CDF) of the multinomial response variable as a function of a single continuous independent variable (dose variable)
 plots the inverse of the predicted probability (IPP) against a single continuous variable (dose variable) for the binomial model
 plots the linear predictor (LPRED) x'b against a single continuous variable (dose variable) for either the binomial model or the multinomial model
 plots the predicted probability against a single continuous variable (dose variable) for both the binomial model and the multinomial model
 computes and compares least squares means (LSmeans) of fixed effects
 provides custom hypothesis tests among least squares means

 performs a partitioned analysis of the LSmeans for an interaction
 perform weighted estimation
 enables you to save the context and results of the statistical analysis in an item store, which can be processed with the PLM procedure
 creates a SAS data set that contains the parameter estimates and their estimated covariances
 creates a SAS data set that contains the input data, the fitted probabilities, the linear prediction and the estimate of its standard error
 creates a SAS data set that corresponds to any output table
 performs BY group processing, which enables you to obtain separate analyses on grouped observations
 automatically creates graphs by using ODS Graphics

For further details see the SAS/STAT User's Guide:
The PROBIT Procedure
( PDF  HTML )
Examples