Type III SS in balanced, crossover BE studies? [🇷 for BE/BA]
❝ So, can 'some regulators' agree with this or are they willing to accept Type I SS in this situation?
Hi,
I am not entirey sure that I understand you. You should ask a regulator, by the way...
You can do type III SS with "drop1", and it will work for unbalanced data so I don't see a problem in any way. You can also do it by fitting models one by one and comparing residuals. In the end it will work out to exactly the same result. I see no reason why you would not do this in your package - please tell me why ("Bear is now only applicable to a balanced, crossover designed BE study"???). And remember,
drop1
is good with both glm
and lm
. You can do type III's via a mixed model, too, using the approach I showed you earlier, and again it will give you valid results for balanced and unbalanced data.Whenever a study is balanced regulators will / should accept everything, because type I = type III (= type other, too). 99.999% don't care anyway, because they haven't got the faintest clue about statistics, as far as I've heard.
I hope this provided an answer to your question?
Have a nice day.
EM.
Thread locked
Complete thread:
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