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compares
2009 Sep 08
3
Omnibus test for main effects in the face ofaninteraction containing the main effects.
...tion of the outcome.
You are correct that normally one could rely on the fact that the model
Post<-Time+as.factor(Group)+as.factor(Group)*Time
contains the model
Post<-Time+as.factor(Group)
and compare the two models using anova(model1,model2). However, my model
is has a random effect, the comparison is not so easy. The REML
comparions of nested random effects models is not valid when the fixed
effects are not the same in the models, which is the essence of the
problem in my case.
In addition to the REML problem if one wants to perform an omnibus test
for Group, one would want to compare ne...