Krystyna Golabek wrote:
>
>
> Using AIC for model selection I find my minimal model is
> FOLLOW~MOVERSTATUS+DISTANCE however it appears DISTANCE is not significant
> at 95% confidence, see output quoted below.
> However, removing DISTANCE gives a higher AIC=433.5, therefore I will keep
> it in, but am confused as to what is adds to the model.
>
>
> Are the p values given in output to be taken lightly?
>
>
> #Fixed effects:
> # Estimate Std. Error z value Pr(>|z|)
> #(Intercept) 2.06881 0.31086 6.655 2.83e-11 ***
> #MOVERSTATUSSUB -0.82564 0.28118 -2.936 0.00332 **
> #DISTANCE 0.02311 0.01298 1.780 0.07503 .
>
>
AIC based removal does not use the sacred p=0.05 criterion, but a penalized
criterion that with some simplifications is around p=.15. Which is good so,
because even that can lead to simplifications going too far. So keep it;
when you repeat the experiment identically, it is required.
(Frank Harrell: http://markmail.org/message/jdik3brpe22x7k7h)
What is wrong with p=0.075? Only VERY bad journals nowadays use the p=0.05
guillotine as publication cutoff.
Dieter
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