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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