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

Viechtbauer, Wolfgang (SP) wo||g@ng@v|echtb@uer @end|ng |rom m@@@tr|chtun|ver@|ty@n|
Mon Mar 15 12:54:42 CET 2021

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:


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


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.


>-----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
>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
>I appreciate your expertise and consideration,
>*#-- R data and code:*
>dat <- read.csv("https://raw.githubusercontent.com/hkil/m/master/tst.csv")
>rma.mv(d, V = SE^2, mods = ~factor(outcome)-1, random= ~1|id, data = dat)
>## I'm assuming this would be an insufficient model

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