[R-sig-ME] Multiple comparison correction?

[Daniel Wright]

Here (http://andrewgelman.com/2014/10/14/one-lifes-horrible-ironies-wrote-paper-usually-dont-worry-multiple-comparisons-now-spend-lots-time-worrying-multiple-comparisons/) is a more recent discussion of Gelman's view on topic.

Daniel B. Wright, Ph.D.
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-----Original Message-----
From: r-sig-mixed-models-bounces at r-project.org [mailto:r-sig-mixed-models-bounces at r-project.org] On Behalf Of Malcolm Fairbrother
Sent: Thursday, November 06, 2014 4:39 PM
To: ahnate at gmail.com
Cc: r-sig-mixed-models
Subject: Re: [R-sig-ME] Multiple comparison correction?

Dear Ahnate,

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

http://www.stat.wisc.edu/~larget/Stat998/Fall2013/GelmanMultipleComparisons.pdf

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

Cheers,
Malcolm



> 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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