Dear Daniel,
No, studies with 0 events are not removed. To illustrate:
library(metafor)
xi <- c(0,1,0,0,1,2)
ni <- rep(10,6)
res <- rma.glmm(measure="PLO", xi=xi, ni=ni)
res
predict(res, transf=exp)
res <- rma.glmm(measure="PLO", xi=xi, ni=ni, subset=xi>0)
res
predict(res, transf=exp)
As you can see, in the second model, the estimate of the odds is much higher, since there I have explicitly thrown out the studies with 0 events.
Best,
Wolfgang
-----Original Message-----
From: Daniel M?nsted Shabanzadeh [mailto:dmshaban at gmail.com]
Sent: Thursday, 10 October, 2019 10:11
To: Viechtbauer, Wolfgang (SP); r-sig-meta-analysis at r-project.org
Subject: Meta-regression of proportions using rma.glmm
Hey
I am performing af meta-regression of post-operative complications in single-arm studies. I am using the rma.glmm function on logit transformed data (measure ="PLO").?Many of the studies have 0 events - are these studie's proportions?removed from the model? In that?case, how can i include them?
Regards,
Daniel??
Daniel M?nsted Shabanzadeh
MD, PhD
Department of Gastroenterology, Surgical Unit
Hvidovre Hospital
Mobile?+45 2546 5251?