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2010 Sep 06
2
anova of glm output
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: