[R-meta] Conducting IPD meta-analysis [R]
Dear Sam, for IPD meta-analysis, you may in fact need to check out generic software for mixed models (rather than dedicated meta-analysis software). I am currently working on a (Bayesian) IPD meta-analysis, and we are using the "brms" package (https://cran.r-project.org/package=brms). For a frequentist analysis, I guess the "lme4", "nlme" or similar packages may be useful. Cheers, Christian
On Thu, 2020-12-03 at 13:26 +0000, Michael Dewey wrote:
Dear Sam There are more than 100 packages for meta-analysis listed in the relevant CRAN Task View https://cran.r-project.org/view=MetaAnalysis Without more details about what the output from your first stage is likely to look like it is hard to recommend the best option but the two general purpose packages which most people use are meta and metafor. The authors of both of these monitor this list if you have detailed queries. Michael On 02/12/2020 19:13, Sam Meyler wrote:
Hi I am aiming to undertake a ?two-stage? IPD meta-analysis using R and was wondering if you could recommend the most appropriate package to use? Thanks Sam Sent from Mail <https://go.microsoft.com/fwlink/?LinkId=550986> for Windows 10 < http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient> Virus-free. www.avg.com < http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>
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