[R-meta] Threshold values for Cook's Distances and DFBETAS
@1ththoe @end|ng |rom un|-tr|er@de
Fri Sep 30 14:36:10 CEST 2022
Hello Wolfgang, hello Michael,
thanks for taking the time to answer my question. This was very helpful.
Von: Michael Dewey <lists using dewey.myzen.co.uk>
Gesendet: Freitag, 30. September 2022 11:07:31
An: Th�lking, Theresa; r-sig-meta-analysis using r-project.org
Betreff: Re: [R-meta] Threshold values for Cook's Distances and DFBETAS
My feeling is that these diagnostics are better seen as identifying
values which may benefit from further investigation. If I was concerned
that they were unduly influential in the model I might try fitting
leave-one-out models but since those models are essentially data-driven
they are also only useful in an exploratory sense.
So, even if there is a formula I would be sceptical about its value in
answering the scientific question.
On 29/09/2022 21:35, Th�lking, Theresa wrote:
> Hello everybody,
> I am trying to apply the outlier and influence diagnostics as described by Viechtbauer and Cheung (2010) on a meta-analysis I conducted, using a four-level random-effects model with 528 included effect sizes. I have calculated the Cook's Distances and DFBETAS in R, using the functions for model diagnostics for rma.mv objects as described here: https://wviechtb.github.io/metafor/reference/influence.rma.mv.html
> However, I don't know how to decide about which studies are influential based on these values. I read the paper by Viechtbauer and Cheung, but I don't quite understand it. Is there some kind of formula to determine the threshold values of CD and DFBETAS for a meta-analytic model with k outcomes? Thanks in advance for your help.
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