I would like to combine time-series data to test for correlations and interactions using random and fixed effects meta-analysis. So, I am looking for the right packages and documentation. I know about meta and rmeta packages of R. Are there any more? What are the diffrences in brief? Can you please suggest some references that could be used as a guide for meta-analysis in R (or S-plus)? Thank you! [[alternative HTML version deleted]]
http://www.wvbauer.com/downloads.html has the mima function (and a number of useful references for meta- analysis) I'm not aware of any specialized needs/functions for timeseries data. hth, Ingmar On 21 Jun 2007, at 12:09, Irene Mantzouni wrote:> I would like to combine time-series data to test for correlations and > interactions using random and fixed effects meta-analysis. > > So, I am looking for the right packages and documentation. > > I know about meta and rmeta packages of R. > > Are there any more? What are the diffrences in brief? > > Can you please suggest some references that could be used as a > guide for > meta-analysis in R (or S-plus)? > > > > Thank you! > > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > 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.Ingmar Visser Department of Psychology, University of Amsterdam Roetersstraat 15 1018 WB Amsterdam The Netherlands t: +31-20-5256735 [[alternative HTML version deleted]]
On 21 Jun 2007 at 12:09, Irene Mantzouni wrote: Date sent: Thu, 21 Jun 2007 12:09:31 +0200 From: "Irene Mantzouni" <ima at difres.dk> To: <r-help at stat.math.ethz.ch> Subject: [R] meta-analysis in R> I would like to combine time-series data to test for correlations > and > interactions using random and fixed effects meta-analysis. > > So, I am looking for the right packages and documentation. > > I know about meta and rmeta packages of R. > > Are there any more? What are the diffrences in brief?Yes, there are some more packages for meta-analysis. help.search("meta-analysis") will answer your question. Additionally, one should also mention the MiMa function, see below. Most of the packages use a method of moments estimator; MiMa offers a wider range of estimation methods, e.g. ML or REML (see the MiMa documentation for more information).> Can you please suggest some references that could be used as a guide > for > meta-analysis in R (or S-plus)? > >I know at least two references: There is a chapter on meta-analysis in Everitt, Brian, und Torsten Hothorn, 2006: A handbook of statistical analyses using R. Boca Raton: Chapman & Hall/CRC. (see also <http://cran.r- project.org/doc/vignettes/HSAUR/Ch_meta_analysis.pdf>) See also my reply to Lucia Costanzo and my suggestion to use the MiMa-package <http://tolstoy.newcastle.edu.au/R/e2/help/07/06/19418.html>. HTH, Bernd
Dear Bernd, Please be careful in reading the example of meta-regression (12.4) in <http://cran.r-project.org/doc/vignettes/HSAUR/Ch_meta_analysis.pdf>. In that example, the variance component was estimated under a model without any covariate. Then the estimated variance component was used as the variance component in the meta-regression with covariates. Since the variance component is based on the model without any covariate, it should be overestimated for a model with covariate. I have emailed the authors about this issue. A better approach is to use the MiMa function provided by Wolfgang Viechtbauer. Regards, Mike -- --------------------------------------------------------------------- Mike W.L. Cheung Phone: (65) 6516-3702 Department of Psychology Fax: (65) 6773-1843 National University of Singapore http://courses.nus.edu.sg/course/psycwlm/internet/ --------------------------------------------------------------------- On 6/21/07, Bernd Weiss <bernd.weiss at uni-koeln.de> wrote:> On 21 Jun 2007 at 12:09, Irene Mantzouni wrote: > > Date sent: Thu, 21 Jun 2007 12:09:31 +0200 > From: "Irene Mantzouni" <ima at difres.dk> > To: <r-help at stat.math.ethz.ch> > Subject: [R] meta-analysis in R > > > I would like to combine time-series data to test for correlations > > and > > interactions using random and fixed effects meta-analysis. > > > > So, I am looking for the right packages and documentation. > > > > I know about meta and rmeta packages of R. > > > > Are there any more? What are the diffrences in brief? > > Yes, there are some more packages for meta-analysis. > help.search("meta-analysis") will answer your question. > > Additionally, one should also mention the MiMa function, see below. > > Most of the packages use a method of moments estimator; MiMa offers a > wider range of estimation methods, e.g. ML or REML (see the MiMa > documentation for more information). > > > Can you please suggest some references that could be used as a guide > > for > > meta-analysis in R (or S-plus)? > > > > > > I know at least two references: > > There is a chapter on meta-analysis in Everitt, Brian, und Torsten > Hothorn, 2006: A handbook of statistical analyses using R. Boca > Raton: Chapman & Hall/CRC. (see also <http://cran.r- > project.org/doc/vignettes/HSAUR/Ch_meta_analysis.pdf>) > > See also my reply to Lucia Costanzo and my suggestion to use the > MiMa-package > <http://tolstoy.newcastle.edu.au/R/e2/help/07/06/19418.html>. > > HTH, > > Bernd > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > 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. >