It is recommended that you first use the desired procedure directly to fit and confirm the model. Then use this macro to extract the parameter estimates and other statistics. The available options and their descriptions appear at the top of the macro definition below. Note that normal regression, binary logistic and probit models are all in the class of generalized linear models. Following is output from the example presented below.
P is the p-value for each estimate.
Limited error checking is done. Only Wald confidence intervals can be output in logistic models. Only binary response variables can be modeled with the logistic and probit methods. Time-dependent variables and stratified analyses are not allowed in proportional hazards models. Offset variables are not allowed in these models or in logistic or probit models.