Bioequivalence and Bioavailability Forum

Dear Elmaestro,

Thanks. It said that "...anova table the same as of class merMod but with additional F statistics and p-values calculated based on Satterthwaite’s approximations..." in its pdf file. and so

library(lmerTest)
...
m <- lmer(y ~ formula, data=xxx)
anova(m)  ### which means anova(m, ddf="Satterthwaite",type=3 or 1, ...) by default
...

I don't have SAS and thus cannot validate if it will reproduce the same results as SAS. However, it should be an interesting package.

❝ ❝ How about the package 'lmerTest'?

❝

❝ It certainly looks like it produces denominator DFs of the Satterthwaite variety. Very interesting, thanks for posting this. Do you by any chance know what the interpretation is and/or if the Satterthwaite df-type is particularly suited to a BE-scenario?

Type 3 or 1: Type 3 or 1 anova table with denominator degrees of freedom calculated based on Satterthwaite's approximation.

I would like to make sure if it is what we are looking for first before going further. After all, I am not a statistician at all. More comments or opinions should be helpful.