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<p>Dear Christine,</p>
<p>I attach a bit R code with an example (for R package meta).</p>
<p>Bset,</p>
<p>Gerta<br>
</p>
<br>
<div class="moz-cite-prefix">Am 11.10.2018 um 12:02 schrieb
Christine Emmer:<br>
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cite="mid:318F4D8D-FC48-4187-BCCE-4C7A3AA810DA@uni-mannheim.de">
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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?
<div class=""><br class="">
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<div class="">Best, christine <br class="">
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<div class="">Am 11.10.2018 um 11:51 schrieb Gerta Ruecker
<<a href="mailto:ruecker@imbi.uni-freiburg.de"
class="" moz-do-not-send="true">ruecker@imbi.uni-freiburg.de</a>>:</div>
<br class="Apple-interchange-newline">
<div class="">
<div class="">Dear Christine,<br class="">
<br class="">
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.<br
class="">
<br class="">
Best,<br class="">
<br class="">
Gerta<br class="">
<br class="">
<br class="">
Am 11.10.2018 um 11:45 schrieb Christine Emmer:<br
class="">
<blockquote type="cite" class="">Dear Wolfgang, and
dear Gerta,<br class="">
<br class="">
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).<br class="">
Does this make sense for you?<br class="">
<br class="">
Best, Christine<br class="">
<br class="">
<blockquote type="cite" class="">Am 11.10.2018 um
11:34 schrieb Gerta Ruecker <<a
href="mailto:ruecker@imbi.uni-freiburg.de"
class="" moz-do-not-send="true">ruecker@imbi.uni-freiburg.de</a>>:<br
class="">
<br class="">
Dear Christine,<br class="">
<br class="">
With over 300 effect sizes, I think this is
somewhat unavoidable ;-) With 800% enlargement you
see the details.<br class="">
<br class="">
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.<br class="">
<br class="">
Best,<br class="">
<br class="">
Gerta<br class="">
<br class="">
<br class="">
Am 11.10.2018 um 11:28 schrieb Viechtbauer,
Wolfgang (SP):<br class="">
<blockquote type="cite" class="">Hi Christine,<br
class="">
<br class="">
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:<br class="">
<br class="">
sav <- forest(...)<br class="">
sav<br class="">
<br class="">
then you can see what the defaults are. The
default settings may not be appropriate for
forest plots witht this many effects.<br
class="">
<br class="">
Best,<br class="">
Wolfgang<br class="">
<br class="">
-----Original Message-----<br class="">
From: R-sig-meta-analysis [<a
href="mailto:r-sig-meta-analysis-bounces@r-project.org"
class="" moz-do-not-send="true">mailto:r-sig-meta-analysis-bounces@r-project.org</a>]
On Behalf Of Christine Emmer<br class="">
Sent: Thursday, 11 October, 2018 11:00<br
class="">
To: <a
href="mailto:r-sig-meta-analysis@r-project.org"
class="" moz-do-not-send="true">r-sig-meta-analysis@r-project.org</a><br
class="">
Subject: [R-meta] Forest Plot<br class="">
<br class="">
ATTACHMENT(S) REMOVED: forest0.pdf<br class="">
<br class="">
Hello,<br class="">
<br class="">
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.<br class="">
Unfortunately, the plot is because of the high
number of effect sizes not clearly arranged (see
attached picture).<br class="">
Maybe there is a simple solution?<br class="">
<br class="">
Many thanks and best regards, Christine<br
class="">
_______________________________________________<br
class="">
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</blockquote>
-- <br class="">
<br class="">
Dr. rer. nat. Gerta Rücker, Dipl.-Math.<br
class="">
<br class="">
Institute of Medical Biometry and Statistics,<br
class="">
Faculty of Medicine and Medical Center -
University of Freiburg<br class="">
<br class="">
Stefan-Meier-Str. 26, D-79104 Freiburg, Germany<br
class="">
<br class="">
Phone: +49/761/203-6673<br class="">
Fax: +49/761/203-6680<br class="">
Mail: <a
href="mailto:ruecker@imbi.uni-freiburg.de"
class="" moz-do-not-send="true">ruecker@imbi.uni-freiburg.de</a><br
class="">
Homepage: <a
href="https://portal.uni-freiburg.de/imbi/persons/ruecker?set_language=en"
class="" moz-do-not-send="true">https://portal.uni-freiburg.de/imbi/persons/ruecker?set_language=en</a><br
class="">
<br class="">
</blockquote>
</blockquote>
<br class="">
-- <br class="">
<br class="">
Dr. rer. nat. Gerta Rücker, Dipl.-Math.<br class="">
<br class="">
Institute of Medical Biometry and Statistics,<br
class="">
Faculty of Medicine and Medical Center - University of
Freiburg<br class="">
<br class="">
Stefan-Meier-Str. 26, D-79104 Freiburg, Germany<br
class="">
<br class="">
Phone: +49/761/203-6673<br class="">
Fax: +49/761/203-6680<br class="">
Mail: <a
href="mailto:ruecker@imbi.uni-freiburg.de" class=""
moz-do-not-send="true">ruecker@imbi.uni-freiburg.de</a><br
class="">
Homepage: <a
href="https://portal.uni-freiburg.de/imbi/persons/ruecker?set_language=en"
class="" moz-do-not-send="true">https://portal.uni-freiburg.de/imbi/persons/ruecker?set_language=en</a><br
class="">
<br class="">
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</div>
</blockquote>
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<br class="">
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<br>
<pre class="moz-signature" cols="72">--
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: <a class="moz-txt-link-abbreviated" href="mailto:ruecker@imbi.uni-freiburg.de">ruecker@imbi.uni-freiburg.de</a>
Homepage: <a class="moz-txt-link-freetext" href="https://portal.uni-freiburg.de/imbi/persons/ruecker?set_language=en">https://portal.uni-freiburg.de/imbi/persons/ruecker?set_language=en</a>
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