[R-meta] Dear Wolfgang
juh@|ee @end|ng |rom northe@@tern@edu
Thu Jan 27 21:54:55 CET 2022
Thank you for your response. It's helpful to know your perspectives on this, and that in general there is no hard evidence or guidelines for sample size thresholds for meta-regression models.
Also, thank you very much for directing me to possibly using power analyses for testing false relationships.
Marine Science Center, Northeastern University
430 Nahant Rd, Nahant, MA 01908, USA
2022. 1. 27. 오후 1:54, "Viechtbauer, Wolfgang (SP)" <wolfgang.viechtbauer using maastrichtuniversity.nl> 작성:
Briefly, I am not aware of any proper evidence based guidelines for such a threshold. You sometimes see people mention that there should be 5 or 10 studies per moderator, but these are just heuristics. One could do a proper power analysis if one is worried about false negatives. See
for some recent work that might be applicable to your case (since your post implies that you are dealing with a more complex data structure).
>From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces using r-project.org] On
>Behalf Of Lee, Ju
>Sent: Wednesday, 26 January, 2022 23:07
>To: r-sig-meta-analysis using r-project.org
>Subject: [R-meta] Dear Wolfgang
>I am currently using a mixed effect meta-regression to explore the effects of
>different environmental variables on fish densities in coastal habitats.
>For this, I am constructing a different model for individual fish species, in
>which my goal is to identify important predictor variables separately for each
>species by using aicc-based model selection (glmulti).
>For each fish dataset, I usually identify 3-4 potentially important predictor
>variables – which include both categorical and continuous variables – based on a
>priori hypothesis and the statistical test of omnibus test (of each individual
>I am only testing the main effects and not the interaction of multiple variables
>being included in the final models.
>The problem I am running into is the small number of studies being available for
>many species, with the number of study response (effect size, not independent
>study) ranging from 6 to 100 for different fish species.
>So my question is:
>Is there a commonly used threshold for the multiple meta-regression using rma.mv
>to be reliable and avoid false positive or negative relationship?
>pe=printable I read that, for meta-regression, n should be greater than 8 for low
>variance data, but should be greater than 25 for high variance data.
>I wanted to seek your advice on what would be a good threshold criteria for
>minimum study response (effect size) number for running the meta-regression
>Also, could we also apply similar threshold for number of independent studies
>(not effect size, but the actual publication) included in each dataset as well?
>Marine Science Center, Northeastern University
>430 Nahant Rd, Nahant, MA 01908, USA
More information about the R-sig-meta-analysis