[R-meta] GOSH plots for multi-level meta (rma.mv)

Hellen Mirr he||enm|r554 @end|ng |rom gm@||@com
Fri Oct 30 14:03:34 CET 2020


Dear Wolfgang,

Thank you very much for your clear explanation.

Best,
Hellen

On Fri, Oct 30, 2020 at 11:48 AM Viechtbauer, Wolfgang (SP) <
wolfgang.viechtbauer using maastrichtuniversity.nl> wrote:

> Dear Hellen,
>
> This is currently not implemented in metafor. In principle, the idea of a
> GOSH plot does generalize to more complex models although one needs to
> think about whether one would want to create subsets based on the indiviual
> estimates or based on some higher-level grouping variable. For example,
> suppose we have a multilevel structure such as:
>
> study  esid  yi vi
> ------------------
> 1      1     .  .
> 1      2     .  .
> 2      1     .  .
> 3      1     .  .
> 3      2     .  .
> 3      3     .  .
> 4      1     .  .
>
> So, what are, for example, then the subsets of size 2? Are they based just
> on the rows? Then the estimates in row 1 and 2 would be one such subset. Or
> does one base the subsets on the studies? Then rows 1, 2, 3 (i.e., studies
> 1 and 2) would be such a subset.
>
> This could all be implemented (just like cooks.distance() and rstudent()
> allow for the optional specification of a clustering variable), but I
> haven't done this.
>
> Aside from that: Fitting rma.mv models can take a bit of time. Doing this
> 1000's of times (based on all possible subsets) could take a LONG time.
>
> Best,
> Wolfgang
>
> >-----Original Message-----
> >From: R-sig-meta-analysis [mailto:
> r-sig-meta-analysis-bounces using r-project.org]
> >On Behalf Of Hellen Mirr
> >Sent: Friday, 30 October, 2020 12:12
> >To: r-sig-meta-analysis using r-project.org
> >Subject: [R-meta] GOSH plots for multi-level meta (rma.mv)
> >
> >Hello,
> >
> >Apologies if this has already been answered, as I could not find any
> >threads on it.
> >I was wondering whether it is possible to create a GOSH plot for a
> >multi-level meta analysis that is an rma.mv object, and how I would go
> >about that.
> >
> >Thank you in advance for all the help!
> >
> >Best wishes
> >Hellen
>

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