[R-meta] compare multiple "bayesmeta" estimates

[Simon Harmel]

Dear Christian,

Thank you very much. To be clear, you're suggesting a meta-analysis of the
subgroup meta-analyses, correct?

Well, in my case, I have way too many subgroups, so there will be many
pairwise comparisons. I wonder if there is a way to get the large posterior
samples from each subgroup' summary effect and subtract it from the large
posterior samples from another subgroup  summary effect etc.?

Perhaps, then we can see if the HDI of the posterior of difference includes
"0"?

Is this possible and/or reasonable given that my goal is to see if one
subgroup is "different" from another one or not?

Thank you,
Simon

On Sat, Dec 26, 2020 at 12:38 PM Röver, Christian <
christian.roever using med.uni-goettingen.de> wrote:

> Dear Simon,
>
> you can essentially do an analogous analysis (in two stages) using the
> "bayesmeta" package. Doing the one-stage meta-regression approach is
> not (yet) possible with bayesmeta, but it should be possible via
> "rjags" (of required).
>
> For the two-stage approach, we then only need to use a normal
> approximation for the results from the 1st-stage analyses and proceed
> from there.
>
> I attached some example R code based on the quoted "metafor" example.
>
> Cheers,
>
> Christian
>
>
>
> On Sat, 2020-12-26 at 10:46 -0600, Simon Harmel wrote:
> > Hello All,
> >
> > Using "bayesmeta" package, I want to compare multiple estimates of
> > independent Meta-Analyses (i.e., Subgroups).
> >
> > In metafor, I know we can do this: (
> >
> http://www.metafor-project.org/doku.php/tips:comp_two_independent_estimates
> > )
> >
> > But I have fit my models in the "bayesmeta" package, so I was
> > wondering how to compare across my "bayesmeta" models?
> >
> > Thanks,
> > Simon
> >
> >
>

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