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Re: st: AIC for Mixed-Effects Models
From
Robert A Yaffee <[email protected]>
To
[email protected]
Subject
Re: st: AIC for Mixed-Effects Models
Date
Thu, 04 Nov 2010 14:55:46 -0400
Chris,
If you are using empirical Bayesian BLUPs, would BIC not be better
than AIC to use for mixed models.
- Robert
Robert A. Yaffee, Ph.D.
Research Professor
Silver School of Social Work
New York University
Biosketch: http://homepages.nyu.edu/~ray1/Biosketch2009.pdf
CV: http://homepages.nyu.edu/~ray1/vita.pdf
----- Original Message -----
From: Chris Johnson <[email protected]>
Date: Thursday, November 4, 2010 2:45 pm
Subject: Re: st: AIC for Mixed-Effects Models
To: [email protected]
Cc: Stas Kolenikov <[email protected]>
> I am following-up on the request for references to the two cited
> papers
> in my last post.
>
> Liang et al. 2008. A note on conditional AIC for linear mixed-effects
>
> models. Biometrika 95:773-778. (see
> http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2572765/)
> Vaida F, Blanchard S. Conditional Akaike information for mixed-effects
>
> models. Biometrika. 2005;92:351–70.
>
> On 11/3/2010 8:22 AM, Stas Kolenikov wrote:
> > On Tue, Nov 2, 2010 at 10:55 PM, Chris Johnson<[email protected]> wrote:
> >> I am using GLLAMM to fit a relatively simple mixed effects model
> with a
> >> random intercept for individual (gllamm tracks2 sex distperday2, i(otterid)
> >> link(logit) family(bin) robust adapt). I want to use a model selection
> >> strategy based on AIC, but I am struggling with the calculation of
> p as
> >> presented in Vaida and Blanchard (2005) or more recent papers
> (e.g., Liang
> >> et al. 2008). I am hoping for guidance on the calculation or a do
> file to
> >> automate the process.
> > Give the full references please.
> >
>
> --
> Chris Johnson
> Associate Professor
> Ecosystem Science and Management Program
> University of Northern British Columbia
> Prince George, BC
> V2N 4Z9
> ------------------------------------------------
> Phone: 250-960-5357
> Email: [email protected]
> http://web.unbc.ca/~johnsoch/
>
>
>
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