The ROC statements specify models to be used in the ROC comparisons. You can specify more than one ROC statement. ROC statements are identified by their label—if you do not specify a label, the ith ROC statement is labeled "ROCi". Additionally, the specified or selected model is labeled with the MODEL statement label or "Model" if the MODEL label is not present. The specification can be either a list of effects that have previously been specified in the MODEL statement, or PRED=variable, where the variable does not have to be specified in the MODEL statement. The PRED= option allows you to input a criterion produced outside PROC LOGISTIC; for example, you can fit a random-intercept model by using PROC GLIMMIX or use survey weights in PROC SURVEYLOGISTIC, then use the predicted values from those models to produce an ROC curve for the comparisons. If you do not make a specification, then an intercept-only model is fit to the data, resulting in a noninformative ROC curve that can be used for comparing the area under another ROC curve to 0.5.

You can specify a ROCCONTRAST statement and a ROCOPTIONS option in the PROC LOGISTIC statement to control how the models are compared, while the PLOTS=ROC option controls the ODS Graphics displays. See Example 51.8 for an example that uses the ROC statement.

If you specify any options, then a "ROC Model Information" table summarizing the new ROC model is displayed. The options are ignored for the PRED= specification. The following options are available: