Dear Michael, Thank you very much for your input, that is very much appreciated. I have not considered that method, because it's rather outlawed in general. But it is also included in Kuss and if I understood correctly, the collapsing method (and the Cochrane method) both performed not too bad under FEM assumption and had weaknesses in REM. I usually prefer a REM approach, but in this case that may not be that important. I will also read the mmeta paper and documentation.
Thanks a lot! Markus -----Ursprüngliche Nachricht----- Von: Michael Dewey [mailto:li...@dewey.myzen.co.uk] Gesendet: Freitag, 27. November 2015 13:32 An: Markus Kösters; r-help@r-project.org Betreff: Re: [R] metafor - Meta-Analysis of rare events / beta-binomial regression Dear Markus This is not a direct answer to your question, I will leave that to Wolfgang but two thoughts: 1 - if all the studies have very sparse data @article{bradburn07, author = {Bradburn, M J and Deeks, J J and Berlin, J A and Localio, A R}, title = {Much ado about nothing: a comparison of the performance of meta--analytical methods with rare events}, journal = {Statistics in Medicine}, year = {2007}, volume = {26}, pages = {53--77}, keywords = {meta-analysis, fixed effects, random effects} } suggests, surprisingly, that just collapsing the tables may be adequate 2 - there is a CRAN package mmeta which uses beta-binomial in a Bayesian perspective. I did not find the documentation very explicit but there is a paper in JSS. On 26/11/2015 13:39, Markus Kösters wrote: > Dear all, > > > > I am currently writing a protocol for a meta-analysis which will > analyze suicidal events. Recently, O. Kuss has (DOI 10.1002/sim.6383) > published a paper that suggest using beta-binomial regression methods > to incorporate double-zero studies. He states that Methods that > ignore information from double-zero studies or use continuity > corrections should no longer be used. It seems obvious to me that > excluding studies with zero events will bias the results and I am > willing to follow his advice. However, I am not a a biometrician, I > have to admit that I am at a loss if and how it is possible to fit > such model within the metafor package. Can someone help me or should I > use the Yusuf Peto odds ratio method as suggested in the Cochrane handbook? > > Many thanks in advance, > > > > Markus > > > > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Michael http://www.dewey.myzen.co.uk/home.html ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
