Dear Janina
On 18/11/2016 12:04, Janina Steinert wrote:
Hi!
I am running a multi-level meta-regression in R using the metafor package.
I have specified a univariate multi-level meta-regression as follows:
Test_MR <- rma.mv(yi = effectsize_estimates, V = effsize_sd2, data = Test,
mods = ~ x, random = list(~ 1 | coeff, ~ 1 | study))
Can someone help explain what this code specifies exactly? Can I define
this as a mixed-effects model whereby the moderator X is a fixed effect and
random effects denote heterogeneity of effect sizes within study clusters
and between clusters?
Can someone explain what the ~1 at the end of the line specifies?
The ~ sign is part of a formula and the 1 means the intercept so you are
saying you want a random intercept for each coeff and for each study.
You are correct that x is the fixed effect of the moderator.
Have you looked at some of the examples on the metafor website? There is
a whole range there which cover some of the issues you raise. Point your
browser at http://www.metafor-project.org/ and then look for the tips
and for the analyses in the navigation panel.
Thank you!
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Michael
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______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
