[R-meta] Subgroup analysis with RVE

Viechtbauer, Wolfgang (SP) wo||g@ng@v|echtb@uer @end|ng |rom m@@@tr|chtun|ver@|ty@n|
Thu Dec 3 09:20:13 CET 2020

Dear Ioana,

I am not sure why you think that a test of that moderators is not useful when the number of effect sizes is so different between the two groups. All else equal, power will indeed be lower as opposed to the case where k is similar for the two groups, but that will be the case no matter how you analyze the data (via meta-regression or subgrouping).

This aside, I am a bit confused by your question. A subgroup analysis is just that: Fitting a particular model in a subgroup of the studies. That can be done with or without RVE. You seem to have done this already ("I estimated effects in the high and low subgroup separately").


>-----Original Message-----
>From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces using r-project.org]
>On Behalf Of Ioana Cristea
>Sent: Wednesday, 25 November, 2020 15:43
>To: r-sig-meta-analysis using r-project.org
>Subject: [R-meta] Subgroup analysis with RVE
>Dear all
>I am running a meta-analysis with robust variance estimation (RVE) and my
>focus is on a categorical variable (a risk of bias domain variable, coded
>dichotomously, high vs low, in the database "0" for low risk and "1" for
>high risk). I estimated effects in the high and low subgroup separately,
>each in an intercept only model. I also ran the RVE model estimating the
>between-study effect of covariates, including my predictor (which is a
>between study variable) as a covariate (it was not significant). I think a
>big problem is that the two subgroups delineated by the categorical
>variable are very uneven in terms of the information contained (one has 45
>effect sizes, one 13) and in my view a test of significance for differences
>between them is not useful.
>One of my co-authors would also like us to run a subgroup analysis. I am
>not sure how to do that, if it is possible with RVE and if it adds anything
>to the model estimating between-study covariates, which I already ran.
>Thank you!
>Ioana-Alina Cristea, Ph.D.
>Assistant Professor
>Department of Brain and Behavioral Sciences
>University of Pavia, Piazza Botta 11, 27100 Pavia, Italy
>Research affiliate
>METRICS (Meta-research Innovation Center at Stanford)
>Stanford University, California, USA
>Editorial Advisory Board Lancet Psychiatry
>International Editorial Board BJPsych Open
>ORCid: http://orcid.org/0000-0002-9854-7076
>Publons: https://publons.com/author/1196647/ioana-alina-cristea#profile
>Researchgate: https://www.researchgate.net/profile/Ioana_Cristea
>Twitter: https://twitter.com/IoanaA_Cristea

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