The short answer is that you could fit that fixed-effect model
using 'lm', for example. That would make sense if you wanted to make
inference only about that particular group of 20 subjects AND you
thought it was inappropriate to consider that their contribution to a
model would follow
Hi,
There are 20 subjects grouped by Gender, each subject has 2 tissues
(normal vs. cancer).
In fact, it is a 2-way anova (factors: Gender and tissue) with tissue
nested in subject. I've tried the following:
Model 1: lme(response ~ tissue*Gender, random = ~1|subject)
Model 2: response ~
