[R-meta] rma.glmm and relative risk

[David Hajage]

Dear all,



First, I would like to thank Mr Viechtbauer and all the contributors of the
metafor package: it is very useful and convenient piece of software.


I have a little question regarding the function ‘rma.glmm’. I have a binary
outcome, and applied the following one-step model:
> rma.glmm(measure = "OR",
+        ai = exp_event, bi = exp_noevent, ci = con_event, di = con_noevent,
+        data = ma, model="UM.RS")

I would prefer to express the results in terms of relative risk. This seems
possible when applying a two-step approach (because measure = “RR” is an
option of the function ‘escalc’), but it doesn’t seem possible with
rma.glmm.
Is there a reason for that? And is there a workaround within your package?
(I know that I can directly use glmer, but I would really prefer staying in
the workflow of metafor package).

Thank you very much for you help,

Best wishes,
-- 
David

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