[R] anova of glm output

francogrex francogrex at mail.com
Mon Sep 6 14:50:45 CEST 2010


Hi, this is more related to understanding some statistics while using R; I've
see such output in a paper:
out <- glm(response~Var1+Var2+Var3..,family=binomial,data=mydata)
summary(out)
stepAIC(out)
anova(out, test='Chisq')
I understand that stepAIC is used to select the model with the lowest AIC
(the best model) but can someone explain what is the purpose of doing the
anova: anova(out, test='Chisq')? What extra information does it bring?
Thanks
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