francogrex wrote:
> 
> 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
> 

"out" is of class glm (and lm, if that matters). So we have anova working on
a glm class, which is documented in anova.glm.

You should be aware that this anova depends on the order of you Varx, so be
cautious.

Dieter


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