Hi all,
When using GLM I always get a table with the mean square errors for each of my dependent variables, but this is not the case when using proc mixed; is there a code that I can add to my model when using proc mixed in order to get this information??
Thank you!!
Caroline
Perhaps you need METHOD=TYPE3;
Perhaps you need METHOD=TYPE3;
Thank you very much data null for the trick, it works for my data! Nevertheless I will keep in mind what lvm said.
Thanks a lot!!
Caroline
It is important to realize that in likelihood-based mixed-model analysis, there is no such thing as a sum of squares or a mean square. F statistics come from contrasts. As data _null_ indicates, you can get a moment-based analysis using method=type3, which includes mean squares, etc. However, this is not the same thing as a likelihood-based analysis, the latter being the preferred method for mixed models (and the default in MIXED). For a certain class of models and balanced data sets, the test results will be the same, but in general the results will differ. Moreover, for a wider class of mixed models, there is no moment-based version.
Thank you very much for the comment! I´m glad to know this. Eventhough works for my data what data null suggested, I will keep in mind what you said about proc mixed and will be carefull when using the information obtained.
Thanks a lot!!
Caroline
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