Message-ID: <CAJuw=B7RfEAtGptbK8SS0tnyF11FUy8rMFOgGbqzcNLfXjFJmA@mail.gmail.com>
Date: 2014-11-05T22:49:33Z
From: Ahnate Lim
Subject: Multiple comparison correction?
Hello,
I have a question related to mixed effect modeling and how to do multiple
comparisons.
We have a longitudinal study with different groups and many dependent
variables such as of brain cortical volume in different areas, etc.
I am using lme, and remember reading somewhere that multiple comparison
corrections do not actually apply to linear mixed effects models, due to
the statistics involved.
For example, if I run the same model on 100 dependent variables,
traditionally I would need to correct for multiple comparisons by dividing
the alpha level (0.05) by 100 to get the proper criterion of 0.0005,
adjusting for the increased likelihood of getting type I errors. I am
wondering however, if this process is the same, or even necessary at all
for lme models?
Thank you,
Ahnate
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