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:/²©Ê¿¿ÎÌâ/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 [EMAIL PROTECTED]
Dept. of Epidemiology,school of public health,Fudan University
Address:No. 138 Yi Xue Yuan Road,Shanghai,China
Postcode:200032
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