[R-sig-ME] Multiple comparison correction?

Malcolm Fairbrother M.Fairbrother at bristol.ac.uk
Thu Nov 6 23:39:20 CET 2014

Dear Ahnate,

I'm not a particular expert on this topic, but I found Gelman et al.'s
views quite interesting:


>From the sounds of it you'll find the paper useful too.


> Date: Wed, 5 Nov 2014 12:49:33 -1000
> From: Ahnate Lim <ahnate at gmail.com>
> To: r-sig-mixed-models at r-project.org
> Subject: [R-sig-ME] 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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