Model Fitting: Logistic Regression |
The Method Tab
You can use the Method tab (Figure 23.3) to set the following options for the analysis:
- 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 would 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.
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