There are more and more softwares for MA available, particularly in the field of medical research. These softwares can be of interest for a meta-analysis concerning the type of experimental data that is common in epidemiology, psychology and marketing. However, it is not always suitable for meta-analysis of correlational data where it is preferable to use a good statistical program (SAS, Stata, LISREL...). Anyway, here are some free softwares for MA:
- R. Thomas Lumley (meta) and Guido Schwarzer (meta) propose macros for R software. "Metafor Package" can also be used to conduct meta-analyses under R (www.metafor-project.org)
- MIX 2.0 is available free of charge for conducting meta-analyses under Excel(www.meta-analysis-made-easy.com/) and is more suitable for medical research.
- MetaStat: http://echo.edres.org:8080/meta/metastat.htm Software more suitable for medical research
There are more and more softwares for MA available, particularly in the field of medical research. These softwares can be of interest for a meta-analysis concerning the type of experimental data that is common in epidemiology, psychology and marketing. However, it is not always suitable for meta-analysis of correlational data where it is preferable to use a good statistical program (SAS, Stata, LISREL...). Anyway, here are some free softwares for MA:
- R. Thomas Lumley (meta) and Guido Schwarzer (meta) propose macros for R software. "Metafor Package" can also be used to conduct meta-analyses under R (www.metafor-project.org)
- MIX 2.0 is available free of charge for conducting meta-analyses under Excel(www.meta-analysis-made-easy.com/) and is more suitable for medical research.
- MetaStat: http://echo.edres.org:8080/meta/metastat.htm Software more suitable for medical research
Review Manager do not have advanced functions to analyze data from genetic studies. R should be more appropriate since it's free and more robust in analysis.
You could also consider Meta-Essentials. A free and easy to use meta-analysis tool. It can be used for various types of effect sizes. See www.meta-essentials.com. For more advanced meta-analysis (meta-regression, etc.), I would recommend the R package 'metafor'.