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