Hello list,
i have a glm with family=binomial, link=logit but there is
over-dispersion. So, in order to take into account for this problem i
choose to do a glm with family=quasibinomial(). I'm not an expert on
this subject and i ask if someone could validate my approach (i'm not
sure for the tests) :
quasi_glm(myformula,quasibinomial(),start=mystart)
summary(quasi) # test t for coefficients
anova(quasi,test="F") # F test (quasi glm) instead of Chisq test
(classical glm)
Thanks in advance.
--
St?phane DRAY
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Biom?trie et Biologie ?volutive - Equipe "?cologie Statistique"
Universite Lyon 1 - Bat 711 - 69622 Villeurbanne CEDEX - France
Tel : 04 72 43 27 56 Fax : 04 78 89 27 19
04 72 43 27 57 E-mail : dray at biomserv.univ-lyon1.fr
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ADE-4 http://pbil.univ-lyon1.fr/ADE-4/ADE-4F.html
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