Treatment-by-Group in PROC MIXED and PROC GLM? [General Sta­tis­tics]

posted by BEQool  – 2024-10-07 12:27 (27 d 11:46 ago) – Posting: # 24220
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❝ […] So you should prove why you modified your ANOVA to get F against Subject MS. […]

I mean if the Group*Treatment is a between-subject factor, it should be, in my opinion, tested by using Subject MS as the denominator.

❝ The `famous` Sun et al. paper states:

❝ For each dataset, a Linear Mixed Model is fit with subgroup, sequence, subgroup-by-sequence, period nested within subgroup, treatment, treatment-by-subgroup as the fixed model and subject nested within subgroup and sequence as a random effect model (the same model can also be fit using the General Linear Model (GLM) with fixed effects only but with slight modification).

As already discussed, you think that if they had used MS Subject as the denominator, they would have probably written it here?

❝ PS: Are you equipped with SAS to check the ANOVA tables for this model (using some dataset without dropouts?) It would be interesting to see what PROC MIXED thinks about this interaction. From this paper I assume they should be the same as PROC GLM. But who knows! I could be wrong with my claim...

Yes I have access to SAS but I dont exactly understand what would you like to know? Which dataset are you talking about? Some random dataset or a specific one? And you are talking about testing Group*Treatment interaction with this dataset with both PROC MIXED and PROC GLM and to see if there is any difference?

Regards
BEQool

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