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Re: st: AIC for Mixed-Effects Models
From
Chris Johnson <[email protected]>
To
[email protected]
Subject
Re: st: AIC for Mixed-Effects Models
Date
Thu, 04 Nov 2010 11:46:10 -0700
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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