[R-meta] Overlapping CIs with significant difference among subgroups

Viechtbauer, Wolfgang (SP) wo||g@ng@v|echtb@uer @end|ng |rom m@@@tr|chtun|ver@|ty@n|
Mon Dec 7 09:16:20 CET 2020

Dear Rafael,

I just noticed an older unanswered question from you.

What you can do is compute a marginal mean. See here for a discussion of this:



>-----Original Message-----
>From: Rafael Rios Moura [mailto:biorafaelrm using gmail.com]
>Sent: Sunday, 11 October, 2020 15:58
>To: Viechtbauer, Wolfgang (SP); r-sig-meta-analysis using r-project.org
>Subject: Fwd: Overlapping CIs with significant difference among subgroups
>ATTACHMENT(S) REMOVED: script_test.R | dataset.csv | pruned_super-tree.tre
>Dear Dr. Wolfgang,
>I implemented your suggestions and obtained some different results. I found
>a difference in the variable field, for example, which represents whether
>the data was collected in a laboratory (no) or in the field (yes).
>Therefore, the source of the data may introduce a noise in the estimation of
>an average effect size. Since the moderator has only two levels, I cannot
>add it among random variables. Or is there a way of including field as a
>random variable (e.g. effectsizeID|field)? I can also add it as a fixed
>predictor. In this situation, how can I estimate the average effect size,
>because the intercept will represent one level of the moderator? I added the
>variable field to my dataset. Thank you in advance.
>Best wishes,
>Prof. Dr. Rafael Rios Moura
>scientia amabilis
>Coordenador de Pesquisa e do NEPEE/CNPq
>UEMG - Unidade Ituiutaba
>ORCID: http://orcid.org/0000-0002-7911-4734
>Currículo Lattes: http://lattes.cnpq.br/4264357546465157
>Research Gate: https://www.researchgate.net/profile/Rafael_Rios_Moura2
>Rios de Ciência: https://www.youtube.com/channel/UCu2186wIJKji22ai8tvlUfg

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