I am trying to fit a mixed model which includes fixed effects, random
effects and a command to account for repeated measurements on the same
subject, using the SAS macro - glimmix. I am testing whether I need to
transform a continuous fixed effect variable but I am getting strange
results. When I add the squared term to the model the -2 Log likelihood
increases, whereas I would have expected it to decrease since I have added
an extra parameter to the model.
Has anyone else come across this?
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