Dear friends,
  As we all know, the usual model selection criteria(e.g.deviance,AIC...) in
GLMs isn't very good for selecting the best model when overdispersion exist,
so we need to adjust the corresponding  statistic,see(Fitzmaurice,G.M.
(1997) Model selection with overdispersed
data<file:///D:/鴬平仁籾/Prediction%20model%20of%20Snails/1997/Model%20Selection%20with%20Overdispersed%20Data.pdf>,
The Statistician,46(1):81-91.). Is there a function  in R to evaluate the
adjusted AIC or other statistc where  overdispersion existed  in GLMs? How
should i do in that case?
Thanks in advance.

-- 
With Kind Regards,

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Zhi Jie,Zhang ,PHD
Tel:86-21-54237149   epistat@gmail.com
Dept. of Epidemiology,school of public health,Fudan University
Address:No. 138 Yi Xue Yuan Road,Shanghai,China
Postcode:200032
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