Hi there,
I'm trying to fit GEE models on binomial data. My problem is how to
"select" a model if ever it is possible and how I decide a factor has
to be drop out or not. More specifically:
1) Are QIC (Pan 2001) reliable and can be used in a model selection framework
(Burhnam and Anderson 1998)? If yes, how can the QIC be estimated from available
information in a gee object?
2) If not, can R compute an ANOVA table like for GLM (seems that SAS does it)?
The problem is to know whether a factor with more than 2 levels is significant
or not. Can I consider such a factor as significant if at least one modality
(using a Wald-test) is significant?
3) Some models can be fitted with a gml but not with a gee? Is there any
explanation for that?
Any answer would be greatly appreciated,
Christophe
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Bonenfant Christophe
Laboratoire de Biom??trie et Biologie Evolutive
UMR CNRS 5558 - Universit?? Claude Bernard Lyon 1
43, Boulevard du 11 Novembre 1918
F-69622 Villeurbanne Cedex
T??l: 04-72-44-81-11
Mobile: 06-62-11-20-00
Courriel: bonenfan at biomserv.univ-lyon1.fr
In Tartiflette we trust...
------------------------------------------------------------------------
------------------------------------------------------------------------
Bonenfant Christophe
Laboratoire de Biom??trie et Biologie Evolutive
UMR CNRS 5558 - Universit?? Claude Bernard Lyon 1
43, Boulevard du 11 Novembre 1918
F-69622 Villeurbanne Cedex
T??l: 04-72-44-81-11
Mobile: 06-62-11-20-00
Courriel: bonenfan at biomserv.univ-lyon1.fr
In Tartiflette we trust...
