[R-meta] The trim and fill method for rma.mv function

[Rafael Rios]

Dear Wolfgang,

Thank you. I tried the approach that you suggested using the standard error
as moderator, and I found a bias in my data set. I removed outliers (i.e.
values outside the 95% confidence interval of the funnel plot), but I still
found a p<0.05 for the intercept. Then, I decided to removed values outside
90% confidence interval using a contour-enhanced funnel plot and do the
meta-analyses. Do you agree with my approach or recommend a different one?
Best wishes,

Rafael R. Moura.
*scientia amabilis*

Doutorando da Pós-graduação em Ecologia e Conservação de Recursos Naturais
Universidade Federal de Uberlândia, Uberlândia, MG, Brasil

ORCID: http://orcid.org/0000-0002-7911-4734
Currículo Lattes:
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4244908A8
Research Gate: https://www.researchgate.net/profile/Rafael_Rios_Moura2


<http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4244908A8>

2017-10-31 8:17 GMT-02:00 Viechtbauer Wolfgang (SP) <
wolfgang.viechtbauer at maastrichtuniversity.nl>:

> Dear Rafael,
>
> The trim and fill method has not been generalized to more complex models,
> so this is why this is not available in metafor.
>
> It is relatively straightforward though to extend the 'regression test' to
> more complex models. Simply include some measure of precision of the
> estimates (e.g., the standard error, the (inverse) sample size) as a
> predictor/moderator into the model.
>
> Best,
> Wolfgang
>
> --
> Wolfgang Viechtbauer, Ph.D., Statistician | Department of Psychiatry and
> Neuropsychology | Maastricht University | P.O. Box 616 (VIJV1) | 6200 MD
> Maastricht, The Netherlands | +31 (43) 388-4170 | http://www.wvbauer.com
>
> -----Original Message-----
> From: Rafael Rios [mailto:biorafaelrm at gmail.com]
> Sent: Tuesday, 17 October, 2017 20:52
> To: r-sig-meta-analysis at r-project.org; Viechtbauer Wolfgang (SP)
> Subject: The trim and fill method for rma.mv function
>
> Dear All,
>
> I conducted a mixed-effects model using rma.mv function using metafor
> package. Now, I want to use trimfill function, but it is not applyied to
> rma.mv function. Do you know any alternative to conduct this analysis and
> graphical vizualization?
>
> Best wishes,
>
> Rafael R. Moura.
> scientia amabilis
>
> Doutorando da Pós-graduação em Ecologia e Conservação de Recursos Naturais
> Universidade Federal de Uberlândia, Uberlândia, MG, Brasil
>
> ORCID: http://orcid.org/0000-0002-7911-4734
> Currículo Lattes: http://buscatextual.cnpq.br/buscatextual/
> visualizacv.do?id=K4244908A8
> Research Gate: https://www.researchgate.net/profile/Rafael_Rios_Moura2
>

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