Model Fitting: Logistic Regression

You can use the Method tab to set the options for the analysis. (See Figure 23.3.)

The Method tab contains the following UI controls:

Predict probability of: specifies whether to model the probability of the first or last level of the response variable. For example, if the response variable has levels 0 and 1, then you select Largest ordered response to model the probability of 1. This corresponds to the DESCENDING option in the PROC LOGISTIC statement.
Classification variables parameterization: specifies the parameterization method for the classification variables. This corresponds to the PARAM= option in the CLASS statement. The dialog box supports the GLM, effect, and reference coding schemes.
Estimate scale parameter as: specifies the method for estimating the dispersion parameter. This corresponds to the SCALE= option in the MODEL statement.
Aggregate: specifies the subpopulations on which certain test statistics are calculated. This corresponds to the AGGREGATE option in the MODEL statement.