MCMCglmm multivariate meta-analysis with covariance

Wed, Oct 19, 2016 12:50 AM

For ML/REML estimation, you can also use metafor, mvmeta, and metaSEM.

An illustration of a multivariate meta-analysis with the metafor package can be found here:

http://www.metafor-project.org/doku.php/analyses:berkey1998

Best,
Wolfgang

Wolfgang Viechtbauer, Ph.D., Statistician | Department of Psychiatry and    
Neuropsychology | Maastricht University | P.O. Box 616 (VIJV1) | 6200 MD    
Maastricht, The Netherlands | +31 (43) 388-4170 | http://www.wvbauer.com    

> -----Original Message-----
> From: R-sig-mixed-models [mailto:r-sig-mixed-models-bounces at r-
> project.org] On Behalf Of Jon Bischof
> Sent: Wednesday, October 19, 2016 03:25
> To: r-sig-mixed-models at r-project.org
> Subject: [R-sig-ME] MCMCglmm multivariate meta-analysis with covariance
> 
> I'm interested in fitting a multivariate meta-analysis model with
> correlated measurement error. This means fixing the error to a covariance
> matrix per row.
> 
> I saw this post
> <https://stat.ethz.ch/pipermail/r-sig-mixed-models/2013q2/020180.html> on
> the mailing list about non-correlated outcomes, but the noise correlation
> is too large to ignore in my use case. Professor Hadfield implies in the
> post that it is possible but "complicated". Does anyone know how to do
> it?
> 
> Thanks!
> Jon Bischof

MCMCglmm multivariate meta-analysis with covariance

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