[R-meta] Multivariate meta-analysis when "some studies" are multi-outcome

[Viechtbauer, Wolfgang (SP)]

Hi Simon,

I would suggest to search/browse the archives, as this kind of question has been discussed at various points in the past. The archives can be found here:

https://stat.ethz.ch/pipermail/r-sig-meta-analysis/

There is no built-in search functionality for the archives, but one can restrict search engines to conduct searches at particular sites. For example, if you do a google search including

site:https://stat.ethz.ch/pipermail/r-sig-meta-analysis/

you should only get 'hits' from the mailing list archives. The same should work with DuckDuckGo. Note sure about other engines.

Note that search engines index the archives at semi-regular intervals, so the most recent posts will not show up this way, but those can be searched manually.

Best,
Wolfgang

>-----Original Message-----
>From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces using r-project.org] On
>Behalf Of Simon Harmel
>Sent: Saturday, 13 March, 2021 23:53
>To: R meta
>Subject: [R-meta] Multivariate meta-analysis when "some studies" are multi-outcome
>
>Dear All,
>
>I'm conducting a meta-analysis where 15 out of 52 studies have used more
>than one outcome variable. In addition, almost all studies include multiple
>treatments.
>
>A shortened version (i.e., without moderators) of our dataset appears below
>(`*id`=study id; `d`=effect size; `SE` = standard error; `outcome`=outcome
>variable index*).
>
>I was wondering what would be the appropriate modeling options for such a
>situation?
>
>I appreciate your expertise and consideration,
>Simon
>
>*#-- R data and code:*
>dat <- read.csv("https://raw.githubusercontent.com/hkil/m/master/tst.csv")
>
>library(metafor)
>rma.mv(d, V = SE^2, mods = ~factor(outcome)-1, random= ~1|id, data = dat)
>## I'm assuming this would be an insufficient model