

>
> ------------------------------
>
> Message: 3
> Date: Sat, 26 Jan 2013 19:02:21 +0100 (CET)
> From: v_coudrain@voila.fr
> To: r-sig-mixed-models@r-project.org
> Subject: [R-sig-ME] GLMM with binomial error and individual-level
> 	random term
> Message-ID: <1672117723.263581359223341080.JavaMail.www@wwinf7130>
> Content-Type: text/plain; charset=UTF-8
>
> Dear all,
>
> I performed a GLMM with binomial error and individual-level random term to account for overdispersion. I If I understood it correctly on http://glmm.wikidot.com/faq,
> denominator df are not defined for such models and the significance of the parameters should be tested using Chi-square tests. Is this correct? In F-test, results are
> generally reported by giving the numerator and denominator df, the F value and the p value. Hiw should I report the results of my model? Additionally I would like to
> ask if somebody has relevant literature associated to the addition of an individual-level randorm term to account for overdispersion.


Have a look at a paper from Dave Elston:

Elston DA, Moss R, Boulinier T, Arrowsmith C, Lambin X (2001) Analysis 
of aggregation, a workedexample: numbers of ticks on red grouse chicks. 
Parasitology 122: 563--569.

It is also in Chapter 2 in Zuur et al. (2012)...sorry for self-citing. I 
think I would try a beta binomial GLMM in JAGS. I believe Ben has 
written a package for beta binomial GLM. Not sure whether it can do 
GLMM. I think gamlss can also do beta binomial GLMM...not sure. We are 
co-authoring a book with Joe Hilbe in which we have a 40 page chapter 
where we compare binomial GLMM with the individual level random effect 
and the beta binomial GLMM. ....... 'Beginner's Guide to GLM and GLMM 
using R and JAGS'. Comes out in 2-3 months....sorry for 
self-advertising...:-)

Kind regards,

Alain

Microsoft Word - ReferencesBookB.doc
> Thank you very much,
> Best wishes
> Val?rie
> ___________________________________________________________
> Ils nous ont quitt?s en 2012. Voir le diaporama de nos chers disparus sur Voila.fr http://people.voila.fr/people/mediatheque/dossiers/ils-nous-ont-quittes-en-2012/
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>




-- 

Dr. Alain F. Zuur
First author of:

1. Analysing Ecological Data (2007).
Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p.
URL: www.springer.com/0-387-45967-7


2. Mixed effects models and extensions in ecology with R. (2009).
Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer.
http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9


3. A Beginner's Guide to R (2009).
Zuur, AF, Ieno, EN, Meesters, EHWG. Springer
http://www.springer.com/statistics/computational/book/978-0-387-93836-3


4. Zero Inflated Models and Generalized Linear Mixed Models with R. (2012) Zuur, Saveliev, Ieno.
http://www.highstat.com/book4.htm

Other books: http://www.highstat.com/books.htm


Statistical consultancy, courses, data analysis and software
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Tel: 0044 1358 788177
Email: highstat@highstat.com
URL: www.highstat.com
URL: www.brodgar.com


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