[R-meta] multivariate fixed-effect meta-analysis

[Filippo Gambarota]

Great! thank you very much!

On Tue, 23 Nov 2021 at 21:21, Viechtbauer, Wolfgang (SP)
<wolfgang.viechtbauer using maastrichtuniversity.nl> wrote:
>
> With method="FE", 'random' is also ignored. You will see in the output that it says "Variance Components: none".
>
> If 'cov_mat' captures the sampling error covariances, then this could be argued to be a fixed-effects version of a multivariate model.
>
> Best,
> Wolfgang
>
> >-----Original Message-----
> >From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces using r-project.org] On
> >Behalf Of Filippo Gambarota
> >Sent: Tuesday, 23 November, 2021 20:07
> >To: R meta
> >Subject: [R-meta] multivariate fixed-effect meta-analysis
> >
> >Hi!
> >I'm performing a multivariate meta-analysis with metafor, however I'm
> >not sure how to obtain the fixed-effect version. Given that I have not
> >enough data I'm not interested in estimating tau for each outcome and
> >the correlation among outcomes but only taking into account the
> >sampling error dependence. I'm using this function:
> >```
> >rma.mv(
> >    yi = eff_size,
> >    V = cov_mat,
> >    mods = ~ 0 + outcome,
> >    struct = "UN",
> >    random = ~ outcome|paper_id,
> >    method = "FE",
> >    data = data)
> >```
> >Of course, the struct argument is no more relevant (as the warning
> >message said) but I'm wondering if the result is what I'm looking for
> >because from the rma.mv documentation the method = "FE" is not
> >mentioned combined with a multivariate parametrization.
> >Thank you!
> >
> >--
> >Filippo Gambarota
> >PhD Student - University of Padova
> >Department of Developmental and Social Psychology
> >Website: filippogambarota.netlify.app
> >Research Group: Colab   Psicostat



-- 
Filippo Gambarota
PhD Student - University of Padova
Department of Developmental and Social Psychology
Website: filippogambarota.netlify.app
Research Group: Colab   Psicostat