[R-meta] GLMM issue with metaprop / meta package

[Viechtbauer, Wolfgang (NP)]

Hi Dirk,

If you could share the data, I can take a look at why rma.glmm() struggles to fit the model.

Whether one can just use the inverse-variance method is impossible to say without further details.

Best,
Wolfgang

> -----Original Message-----
> From: R-sig-meta-analysis <r-sig-meta-analysis-bounces using r-project.org> On Behalf
> Of Richter Dirk via R-sig-meta-analysis
> Sent: Friday, April 5, 2024 18:22
> To: r-sig-meta-analysis using r-project.org
> Cc: Richter Dirk <dirk.richter using bfh.ch>
> Subject: Re: [R-meta] GLMM issue with metaprop / meta package
>
> Thanks, Guido and Michael. It's obviously an issue related to the Matrix
> package. The verbose argument mentioned this error but did not produce any
> results.
> Do I understand it correctly that the Inverse method is sufficient for a random
> effects model?
> Thanks again,
> Dirk
>
> -----Ursprüngliche Nachricht-----
> Von: Dr. Guido Schwarzer <guido.schwarzer using uniklinik-freiburg.de>
> Gesendet: Freitag, 5. April 2024 17:48
> An: R Special Interest Group for Meta-Analysis <r-sig-meta-analysis using r-
> project.org>
> Cc: Richter Dirk <dirk.richter using bfh.ch>
> Betreff: Re: [R-meta] GLMM issue with metaprop / meta package
>
> Dear Dirk,
>
> Recently, somebody asked the same question on GitHub (https://github.com/guido-
> s/meta/issues/57).
>
> I changed the development version of meta such that the results of the common
> effect model are used as a fallback in metaprop() if the GLMM estimation fails
> (I am not sure any more whether this is a sensible approach. Any comments from
> the list are welcome on this.).
>
> As Michael hinted, you can use verbose = TRUE to get more information on the
> estimation process. However, this is an argument of rma.glmm() from R package
> metafor called internally in metaprop() from R package meta.
>
> The metaprop() call must look like the following:
>
> metaprop(..., control = list(verbose = TRUE))
>
> Best,
> Guido