[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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