[R-meta] Estimating the between-study variance

[Gerta Ruecker]

Dear all,

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 
https://training.cochrane.org/methods-estimate-between-study-variance-and-calculate-uncertainty-estimated-overall-effect-size

Best,

Gerta


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.
>
> 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
>>>
>

-- 

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

Phone:    +49/761/203-6673
Fax:      +49/761/203-6680
Mail:     ruecker using imbi.uni-freiburg.de
Homepage: https://portal.uni-freiburg.de/imbi/persons/ruecker?set_language=en