[R-meta] Forest Plot

Gerta Ruecker ruecker @ending from imbi@uni-freiburg@de
Thu Oct 11 18:41:07 CEST 2018


Dear Christine,

I attach a bit R code with an example (for R package meta).

Bset,

Gerta


Am 11.10.2018 um 12:02 schrieb Christine Emmer:
> Thank you very much for your help! Is it possible to split the groups 
> of studies via R? Or should I just graphically cut the forest plot?
>
> Best, christine
>
>
>> Am 11.10.2018 um 11:51 schrieb Gerta Ruecker 
>> <ruecker using imbi.uni-freiburg.de <mailto:ruecker using imbi.uni-freiburg.de>>:
>>
>> Dear Christine,
>>
>> Yes, this makes sense. For the technical point, you may split the 
>> forest plot into plots of groups of studies (without any further 
>> meaning, simply alphabetically), just to have all studies shown in a 
>> readable way on four or five pages in your thesis or paper, such as 
>> splitting a long table into pages.
>>
>> Best,
>>
>> Gerta
>>
>>
>> Am 11.10.2018 um 11:45 schrieb Christine Emmer:
>>> Dear Wolfgang, and dear Gerta,
>>>
>>> Thank you very much for your quick reply. I was using a three-level 
>>> approach to account for dependencies of effect sizes from the same 
>>> study. I still have to think about interpretation and what the 
>>> distribution of heterogeneity means for my results (around 50% on 
>>> sample level, and 50% on study level).
>>> Does this make sense for you?
>>>
>>> Best, Christine
>>>
>>>> Am 11.10.2018 um 11:34 schrieb Gerta Ruecker 
>>>> <ruecker using imbi.uni-freiburg.de <mailto:ruecker using imbi.uni-freiburg.de>>:
>>>>
>>>> Dear Christine,
>>>>
>>>> With over 300 effect sizes, I think this is somewhat unavoidable 
>>>> ;-) With 800% enlargement you see the details.
>>>>
>>>> Beyond the technical problem, another point is: Many effect sizes 
>>>> come from the same study and they do by no means seem to be 
>>>> independent. Rather, there are blocks defined by studies. You 
>>>> should think how to interpret this (what do different effect sizes 
>>>> from the same study mean?), and whether it really makes sense to 
>>>> put all these into the same meta-analysis (that assumes independent 
>>>> effect sizes) and even to show a pooled estimate.
>>>>
>>>> Best,
>>>>
>>>> Gerta
>>>>
>>>>
>>>> Am 11.10.2018 um 11:28 schrieb Viechtbauer, Wolfgang (SP):
>>>>> Hi Christine,
>>>>>
>>>>> Increase the height of the plotting device (argument height in 
>>>>> function pdf() -- see help(pdf)). And then play around with the 
>>>>> settings for 'cex' and possibly 'xlim' in forest(). If you run the 
>>>>> forest() command like this:
>>>>>
>>>>> sav <- forest(...)
>>>>> sav
>>>>>
>>>>> then you can see what the defaults are. The default settings may 
>>>>> not be appropriate for forest plots witht this many effects.
>>>>>
>>>>> Best,
>>>>> Wolfgang
>>>>>
>>>>> -----Original Message-----
>>>>> From: R-sig-meta-analysis 
>>>>> [mailto:r-sig-meta-analysis-bounces using r-project.org] On Behalf Of 
>>>>> Christine Emmer
>>>>> Sent: Thursday, 11 October, 2018 11:00
>>>>> To: r-sig-meta-analysis using r-project.org 
>>>>> <mailto:r-sig-meta-analysis using r-project.org>
>>>>> Subject: [R-meta] Forest Plot
>>>>>
>>>>> ATTACHMENT(S) REMOVED: forest0.pdf
>>>>>
>>>>> Hello,
>>>>>
>>>>> I am currently working on my master’s thesis, a meta-analysis in 
>>>>> social science. I included over 300 effect sizes, which I want to 
>>>>> display by a forest plot.
>>>>> Unfortunately, the plot is because of the high number of effect 
>>>>> sizes not clearly arranged (see attached picture).
>>>>> Maybe there is a simple solution?
>>>>>
>>>>> Many thanks and best regards, Christine
>>>>> _______________________________________________
>>>>> R-sig-meta-analysis mailing list
>>>>> R-sig-meta-analysis using r-project.org 
>>>>> <mailto:R-sig-meta-analysis using r-project.org>
>>>>> https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis
>>>> -- 
>>>>
>>>> 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 
>>>> <mailto:ruecker using imbi.uni-freiburg.de>
>>>> Homepage: 
>>>> https://portal.uni-freiburg.de/imbi/persons/ruecker?set_language=en
>>>>
>>
>> -- 
>>
>> 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 <mailto:ruecker using imbi.uni-freiburg.de>
>> Homepage: 
>> https://portal.uni-freiburg.de/imbi/persons/ruecker?set_language=en
>>
>

-- 

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


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