I have a training dataset with (x1,x2,x3,y) and these contain some missing observations. I ran proc logistic on this training data and got the parameter estimates (bo, b1, b2, b3).
I tried to apply these estimates(bo, b1, b2, b3) on the test dataset which does not contain any missing observation using proc logistic inmodel the results show lot of missing data and this is the message from the log " Work.Test data set are not scored because they have class levels that are missing or are not present in the analysis data set"
Any suggestion how to score on test dataset without producing missing data even when training dataset contains missing data ? Thanks in advance.