04-02-2013 11:31 AM
I'm trying to fit a hierarchical logistic regression with GLIMMIX procedure that allows for random effect at level-1 unit (here in my case is patient id). Here is the code:
* data is sorted by id;
ods html close;
class id sex;
model label= sex score / dist=binary link=logit;
output out=out1 predpredicted;
where "score" is a continuous predictor and "label" is the binary class of patients (0: died and 1: survived). Now the question is how I can calculate a confusion matrix (table of actual versus predicted class labels) from this fitting?
04-02-2013 11:48 AM
If you took the predicted output and ran a proc freq would that give you your confusion matrix?
04-02-2013 12:22 PM
Thanks. It's a good hint to use proc freq after proc glimmix. But honestly I am not sure which of "Pred" or "PredPA" is the best option for doing the job. Could you explain further?