[R-meta] Estimating the between-study variance
ruecker @ending from imbi@uni-freiburg@de
Tue Oct 2 12:08:22 CEST 2018
I just saw that there will be also a webinar on "Methods to estimate the
between-study variance and to calculate uncertainty in the estimated
overall effect size" at the Cochrane Training website, see
Am 22.09.2018 um 16:11 schrieb Gerta Ruecker:
> 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.
> ----------------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)
>> 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,
Dr. rer. nat. Gerta Rücker, Dipl.-Math.
Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center - University of Freiburg
Stefan-Meier-Str. 26, D-79104 Freiburg, Germany
Mail: ruecker using imbi.uni-freiburg.de
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