[R-meta] Inquiry on metafor trimfill

[Chishio Furukawa]

Dear Michael and Gerta,

Thank you so much for the references! These are very relevant papers that I
was not aware of. I will try various methods as not one method clearly
dominates all others..

Best regards,
Chishio

On Sat, Sep 22, 2018 at 11:11 PM Gerta Ruecker <Ruecker using imbi.uni-freiburg.de>
wrote:

> Dear Chishio,
>
> You may be interested in having a look at a more recent article:
>
> Veroniki AA, Jackson D, Viechtbauer W, Bender R, Bowden J, Knapp G, et al.
> Methods to estimate the between-study variance and its uncertainty in
> meta-analysis. Res Syn Meth 2016; 7(1): 55-79.
>
> Best,
> Gerta
>
>
> ----------------ursprüngliche Nachricht-----------------
> Von: Michael Dewey [lists using dewey.myzen.co.uk  ]
> An: Chishio Furukawa [chishio.furukawa using gmail.com  ], R meta [
> r-sig-meta-analysis using r-project.org  ]
> Datum: Sat, 22 Sep 2018 13:43:22 +0100
> -------------------------------------------------
>
>
> > Dear Chisio
> >
> > I think the answer to your question is probably "No". Although it is 13
> > years old I think Wolfgang's article cited in the help page of rma.uni
> > as Viechtbauer (2005) gives that advice. Worth reading (or re-reading)
> > anyway.
> >
> > Michael
> >
> > On 22/09/2018 01:12, Chishio Furukawa wrote:
> >> Dear all,
> >>
> >> I used the "trifill" command in the metafor package, which provided
> various
> >> options for estimating the heterogeneity across studies. My objective
> was
> >> to estimate the coverage probabilities of the trim-and-fill method
> (Duval
> >> and Tweedie 2000) for comparison with other methods.
> >>
> >> Given the original article in 2000, I think it is adequate to use "DL"
> >> command (standing for formula in DerSimonian and Laird 1996), but I was
> not
> >> confident what methodology is most commonly used. Could I ask if there
> are
> >> recommendations on which formula to use among HS, HE, SJ, ML, REML, and
> EB?
> >> It appears that the estimation result of coverage probability can change
> >> importantly depending on which method to use.
> >>
> >> Thank you!
> >>
> >> Best regards,
> >> Chishio
> >>
> >
>
>
> --
> Gerta Ruecker
> Institute of Medical Biometry and Statistics,
> Faculty of Medicine and Medical Center - University of Freiburg
> Postal Address: Stefan-Meier-Str. 26, 79104 Freiburg
> Phone: +49/761/ 203-6673
> Mail: Ruecker using imbi.uni-freiburg.de  Homepage:
> http://www.imbi.uni-freiburg.de
>


-- 
Chishio Furukawa
古川知志雄
Phone: (090)-6487-1382

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