[R-meta] meta-analysis of other values than effect size

[Dr. Gerta Rücker]

Hi Gladys,
Of course this is possible, for example using function metamean() from R package meta. The main arguments are n, mean, sd, studlab, where sd is the standard deviation (not to be confused with the standard error), and studlab is a study label. See help(metamean). You can then also perform subgroup analyses or metaregression.

Best,
Gerta



UNIVERSITÄTSKLINIKUM FREIBURG
Institute for Medical Biometry and Statistics

Dr. Gerta Rücker
Guest Scientist

Stefan-Meier-Straße 26 · 79104 Freiburg
gerta.ruecker using uniklinik-freiburg.de

https://www.uniklinik-freiburg.de/imbi-en/employees.html?imbiuser=ruecker

Von: Gladys Barragan-Jason via R-sig-meta-analysis <r-sig-meta-analysis using r-project.org>
Gesendet: Montag, 17. November 2025 16:00
An: R meta <r-sig-meta-analysis using r-project.org>
Cc: Gladys Barragan-Jason <gladou86 using gmail.com>
Betreff: [R-meta] meta-analysis of other values than effect size

Dear all,

I would like to know whether it is possible to conduct a meta-analysis on the mean values of a variable (for which I have sample size, standard deviation, mean age, gender distribution, country etc.). Can such an analysis be performed in a way similar to a meta-analysis of effect sizes where several samples came from the same study and which take the number of participants etc... into account?

Best wishes,

Gladys
--
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