[R-meta] HKSJ correction

Thank you!

On Fri, May 29, 2020 at 5:05 PM Viechtbauer, Wolfgang (SP) <
wolfgang.viechtbauer at maastrichtuniversity.nl> wrote:

Use it. Always. Essentially every simulation study that has examined this
method has shown that it performs better than the alternatives (except
maybe for permutation tests, but those methods essentially perform

equally

well and the former is much quicker). See, for example:

Langan, D., Higgins, J. P. T., Jackson, D., Bowden, J., Veroniki, A. A.,
Kontopantelis, E., Viechtbauer, W., & Simmonds, M. (2019). A comparison

of

heterogeneity variance estimators in simulated random-effects
meta-analyses. Research Synthesis Methods, 10(1), 83-98.

One exception: When meta-analyzing dichotomous outcomes with rare events.
But NOT using the method isn't the solution. One should switch to a
different modeling approach then (e.g., logistic mixed-effects models).

Best,
Wolfgang

-----Original Message-----
From: R-sig-meta-analysis [mailto:

r-sig-meta-analysis-bounces at r-project.org]

On Behalf Of Ioana Cristea
Sent: Friday, 29 May, 2020 15:20
To: r-sig-meta-analysis at r-project.org
Subject: [R-meta] HKSJ correction

Dear all
I am doing a meta-analysis of continuous data (SMD), number of studies

(k)

around 75, heterogeneity high (Tau-squared around 0.15). Our interest is

in

fact in a key subgroup analysis (k 50 and 14 for each subgroup)
I am using the REML meta-analysis model, is there any scope for also

using

Hartung-Knapp-Sidik-Jonkman variance correction? Could you point me to

some

references that discuss this?
Thank you
Ioana

--
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
Associate editor Systematic Reviews
<https://systematicreviewsjournal.biomedcentral.com/>

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

--
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
Associate editor Systematic Reviews
<https://systematicreviewsjournal.biomedcentral.com/>

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

        [[alternative HTML version deleted]]