[R-meta] Standardized mean differences with rma.mv?

[Will Hopkins]

Sorry, guys, yes, I got confused. I am guilty of not reading the
documentation thoroughly, and I am still an R and metafor newbie. So if I
understand correctly now, escalc() can turn mean effects into a dataset of
standardized mean effect sizes, with their variances. That gets fired into
rma.uni(). If I have multiple effect sizes for each study, escalc() treats
them as independent effects. I can use aggregate() on the output of escalc()
to get one effect per study and then analyze with rma.uni(), but from what
Reza has stated, I can't fire the output of escalc() into rma.mv() to get
within-study effects and within-study heterogeneity. Really? But I can
always do my own standardizing of the multiple effects and fire that into
rma.mv()?

-----Original Message-----
From: R-sig-meta-analysis <r-sig-meta-analysis-bounces using r-project.org> On
Behalf Of Reza Norouzian via R-sig-meta-analysis
Sent: Thursday, April 18, 2024 11:04 PM
To: R Special Interest Group for Meta-Analysis
<r-sig-meta-analysis using r-project.org>
Cc: Reza Norouzian <rnorouzian using gmail.com>
Subject: Re: [R-meta] Standardized mean differences with rma.mv?

Will,

It seems like you're possibly extending the "measure=" argument in
rma.uni() to rma.mv() which the latter doesn't support.

Reza


On Thu, Apr 18, 2024, 5:19 AM Viechtbauer, Wolfgang (NP) via
R-sig-meta-analysis <r-sig-meta-analysis using r-project.org> wrote:

> Dear Will,
>
> I am afraid I don't understand your question. What do you mean by 
> "calculation of standardized effects" and what does escalc() have to 
> do with this? rma.mv() fits models, escalc() computes various types of 
> effect sizes and corresponding sampling variances, so I cannot quite 
> make sense of how you are contrasting these two functions.
>
> Best,
> Wolfgang
>
> > -----Original Message-----
> > From: R-sig-meta-analysis 
> > <r-sig-meta-analysis-bounces using r-project.org>
> On Behalf
> > Of Will Hopkins via R-sig-meta-analysis
> > Sent: Tuesday, April 16, 2024 23:39
> > To: 'R Special Interest Group for Meta-Analysis' 
> > <r-sig-meta-analysis using r- project.org>
> > Cc: Will Hopkins <willthekiwi using gmail.com>
> > Subject: [R-meta] Standardized mean differences with rma.mv?
> >
> > I searched the archive, and if I missed it, I apologize, but is it 
> > true
> to
> > say that currently multivariate analyses of the kind offered by 
> > rma.mv (when, for example, studies provide two or more estimates for 
> > the meta)
> do
> > not allow for calculation of standardized effects of the kind 
> > offered by escalc (e.g., using measure="SMD1")? I realize one could 
> > do the analyses oneself with rma.mv by pre-standardizing the mean 
> > effects, but you would have to be quite savvy with estimating the 
> > standard errors of the standardized effects.
> >
> > Will
>
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