Much clearer. Let's see. You have estimates of the parameters, and you have your data. You wish to run your data through the final model, with the known parameter estimates, and get an ROC. The Details section of the documentation has a section "Receiver Operating Characteristic Curves" and in the Comparing ROC Curves section says: "ROC curves can be created from each model fit in a selection routine, from the specified model in the MODEL statement, from specified models in ROC statements, or from input variables which act as (pi hat) in the preceding discussion." This sounds like what you want (it also sounds, to me, like scoring your data using the final model). Unfortunately, I cannot find an example where input variables are used. I do know that you would need to calculate the predicted probabilities in a dataset, but the devil is in the details, and that is where I am stuck as well. Perhaps someone can step in and help. Steve Denham
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