[R-sig-ME] Meta-analysis using lmer

Brant Inman brant.inman at mac.com
Tue Mar 31 01:43:27 CEST 2009

I asked a similar question a while back on R-help.  As far as I know,  
the only way to do this type of meta-analysis using the S language was  
to use S-Plus. My understanding is that SAS, HLM and MLWin can do this  

All the examples from meta-analysis in Chapter 6 of the Hox book are  
do-able in R though.  I have the code if you want it.

Brant Inman

On Mar 30, 2009, at 1:16 PM, Yu-Kang Tu wrote:

> Hi,
> I am trying to use lme and lmer to do random effects meta-analysis  
> as described in Hox (2002) and UCLA website: http://www.ats.ucla.edu/stat/mlwin/examples/ma_hox/chapter8.htm
> Basically, what I want to do is to constraint one residual error  
> variance to be unity and use the inverse of standard errors as the  
> covariate (weight) for this variance. And an additional random  
> effects terms is used to estimate the between-study variation. I did  
> take a look at the Pinheiro & Bates book on varFunc, but  
> unfortunately, I cannot figure out how this can be done. Any  
> suggestions/advices will be greatly appreciated. Many thanks.
> Yu-Kang
> --------------------------------------------
> Dr Yu-Kang Tu
> Senior Clinical Research Fellow
> Division of Biostatistics, Centre for Epidemiology and Biostatistics
> Leeds Institute of Genetics, Health and Therapeutics, and
> Department of Periodontology, Leeds Dental Institute
> Room 8.01, Level 8, Worsley Building,
> Clarendon Way
> University of Leeds, LS2 9JT
> Email: y.k.tu at leeds.ac.uk
> Tel: +44 (0) 113 3431877
> Fax: +44 (0) 113 3434877
> _______________________________________________
> R-sig-mixed-models at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models

More information about the R-sig-mixed-models mailing list