[R-meta] Questions about interpreting the intercept in a rma.mv model

[Reza Norouzian]

Dear Maggie,

This question has come up with some frequency on the list. For
example, in the archives
(https://stat.ethz.ch/pipermail/r-sig-meta-analysis/2023-April/subject.html),
I found the following post:
https://stat.ethz.ch/pipermail/r-sig-meta-analysis/2023-April/004552.html
which, I believe, exactly answers your questions.

Kind regards,
Reza



On Fri, May 19, 2023 at 6:49 PM Slein, Margaret via
R-sig-meta-analysis <r-sig-meta-analysis using r-project.org> wrote:
>
> Hello,
>
> Currently working on a meta-analysis and wondering about how to interpret the intercept in a rma.mv output with lnRR as the effect size and several binary categorical moderators? When I put in the -1 to remove the intercept, it doesn’t provide the full estimates for levels across all categorical moderators? How do I get the model output to provide estimates for all levels of all categorical moderators – is there an additional argument for this?
>
> Any help would be greatly appreciated.
>
> Cheers,
> Maggie
>
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