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    <div class="moz-cite-prefix">Dear Carla,<br>
      <br>
      The help file of the function forest.meta shows that the size of
      these boxes (there called squares) is proportional to the study
      weights (that may be inverse variances or may be determined
      otherwise, see argument weight.study) or (for netmeta) comparison
      weights. The width of these squares has no precise meaning, they
      can be interpreted only relatively to each other: A study /
      comparison with greater weight obtains a bigger square:<br>
      <br>
      weight.study: A character string indicating weighting used to
      determine<br>
                size of squares or diamonds (argument ‘type.study’) to
      plot<br>
                individual study results. One of missing, ‘"same"’,<br>
                ‘"fixed"’, or ‘"random"’, can be abbreviated. Plot
      symbols<br>
                have the same size for all studies or represent study
      weights<br>
                from fixed effect or random effects model.<br>
      <br>
      The colours of the square have merely practical meaning: The
      default colour of the square is gray, and the default colour of
      the confidence interval is black. If the study has large weight,
      the square may become wider than the confidence interval, and then
      the confidence interval (the "cross") becomes white. The square
      can also be so small that it looks like a vertical line. <br>
      <br>
      All these colours and properties may be changed by corresponding
      arguments, such as col.square, col.square.lines, squaresize. See
      help(forest.meta).<br>
      <br>
      Best,<br>
      Gerta<br>
      <br>
      <br>
      On 07/28/2017 05:08 AM, Carla Gomez Creutzberg wrote:<br>
    </div>
    <blockquote type="cite"
cite="mid:CAJKdSeYkRxKp7tLJBfcSK05uHDqoNLM0=T35EpJjPEAS-Cjjaw@mail.gmail.com">
      <div dir="ltr">
        <div>Greetings everyone,<br>
        </div>
        <div><br>
        </div>
        <div>I am conducting my first network meta-analysis and for that
          I have been using netmeta. <br>
          <br>
          I've read a bit on general and network meta-analysis I can;t
          seem to find any indication as to how to interpret the grey
          boxes or interval demarcations that show up in netmeta's
          forest plots? <br>
          <br>
          <img src="cid:part1.4F4B3587.7C080584@imbi.uni-freiburg.de"
            alt="Inline image 1" class="" width="480" height="480"><br>
          <br>
          As shown in the image above (can also be found in the
          attachments as "forest.pl.jpeg"), these boxes appear to be
          plotted around some (or perhaps all) of the model estimates.
          In some cases they also appear to encompass an interval longer
          than the 95%CI intervals for the estimate which is then shown
          in white instead of black ink. I was wondering what type of
          interval was represented by these boxes and it was something
          that was estimated for all treatments or only some of them?<br>
          <br>
        </div>
        <div>In addition, for a couple of the meta-analyses I am doing I
          have found that the evidence networks are not well connected
          and end up as two separate sub-networks. I was wondering
          whether it was appropriate to conduct separate meta-analyses
          on the individual sub-networks or whether there was any other
          way to try and tackle the analysis in these cases?<br>
          <br>
        </div>
        <div>Thanks a lot for attention and any suggestions you can
          provide
          <div class="gmail-yj6qo gmail-ajU">
            <div id="gmail-:11o" class="gmail-ajR" tabindex="0"><span
                class="gmail-HOEnZb gmail-adL"></span><br>
              <span class="gmail-HOEnZb gmail-adL"></span></div>
          </div>
        </div>
        <span class="gmail-HOEnZb gmail-adL"><font color="#888888">
            <div>Carla</div>
          </font></span></div>
      <div class="gmail_extra"><br>
        <div class="gmail_quote">On Fri, Jul 28, 2017 at 3:07 PM, Carla
          Gomez Creutzberg <span dir="ltr"><<a
              href="mailto:cgomezcre@gmail.com" target="_blank"
              moz-do-not-send="true">cgomezcre@gmail.com</a>></span>
          wrote:<br>
          <blockquote class="gmail_quote" style="margin:0 0 0
            .8ex;border-left:1px #ccc solid;padding-left:1ex">
            <div dir="ltr">
              <div>Greetings everyone,<br>
              </div>
              <div><br>
              </div>
              <div>I am conducting my first network meta-analysis and
                for that I have been using netmeta. <br>
                <br>
                I've read a bit on general and network meta-analysis I
                can;t seem to find any indication as to how to interpret
                the grey boxes or interval demarcations that show up in
                netmeta's forest plots? <br>
                <br>
                <img
                  src="cid:part1.4F4B3587.7C080584@imbi.uni-freiburg.de"
                  alt="Inline image 2" class="" width="480" height="480"><br>
                <br>
                As shown in the image above (can also be found in the
                attachments as "forest.pl.jpeg"), these boxes appear to
                be plotted around some (or perhaps all) of the model
                estimates. In some cases they also appear to encompass
                an interval longer than the 95%CI intervals for the
                estimate which is then shown in white instead of black
                ink. I was wondering what type of interval was
                represented by these boxes and it was something that was
                estimated for all treatments or only some of them?<br>
                <br>
              </div>
              <div>In addition, for a couple of the meta-analyses I am
                doing I have found that the evidence networks are not
                well connected and end up as two separate sub-networks.
                I was wondering whether it was appropriate to conduct
                separate meta-analyses on the individual sub-networks or
                whether there was any other way to try and tackle the
                analysis in these cases?<br>
                <br>
              </div>
              <div>Thanks a lot for attention and any suggestions you
                can provide<span class="HOEnZb"><font color="#888888"><br>
                    <br>
                  </font></span></div>
              <span class="HOEnZb"><font color="#888888">
                  <div>Carla <br>
                    <div dir="ltr">
                      <div>
                        <div dir="ltr">
                          <div>
                            <div dir="ltr">
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                                            </div>
                                          </div>
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                                      </div>
                                    </div>
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                  </div>
                </font></span></div>
          </blockquote>
        </div>
        <br>
        <br clear="all">
        <br>
        -- <br>
        <div class="gmail_signature" data-smartmail="gmail_signature">
          <div dir="ltr">
            <div>
              <div dir="ltr">
                <div>
                  <div dir="ltr">
                    <div>
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                            <div>
                              <div dir="ltr">
                                <div>
                                  <div dir="ltr"><b>Carla Gómez
                                      Creutzberg</b><br>
                                    PhD. Candidate - <a
                                      href="http://www.tylianakislab.org/the-group.html"
                                      target="_blank"
                                      moz-do-not-send="true">Tylianakis
                                      Lab</a><br>
                                    University of Canterbury - <span
                                      lang="en-NZ"><font color="black"
                                        face="Tahoma" size="2"><span
                                          dir="ltr"
                                          style="font-size:10pt"><font
                                            face="Times New Roman"
                                            size="2"><span
                                              style="font-size:16px"><font
                                                face="Tahoma" size="2"><span
                                                  style="font-size:10pt"><font
                                                    size="1"><span
                                                      style="font-size:13px"><font
                                                        size="2"><i>Te
                                                          Whare Wānanga
                                                          o Waitaha</i></font><font
                                                        size="2"><i><br>
                                                        </i></font></span></font></span></font></span></font></span></font></span>Christchurch,
                                    New Zealand <br>
                                  </div>
                                  <div><a
                                      href="mailto:cgomezcre@gmail.com"
                                      target="_blank"
                                      moz-do-not-send="true">cgomezcre@gmail.com</a>
                                    <br>
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      <br>
      <pre wrap="">_______________________________________________
R-sig-meta-analysis mailing list
<a class="moz-txt-link-abbreviated" href="mailto:R-sig-meta-analysis@r-project.org">R-sig-meta-analysis@r-project.org</a>
<a class="moz-txt-link-freetext" href="https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis">https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis</a></pre>
    </blockquote>
    <p><br>
    </p>
    <pre class="moz-signature" cols="72">-- 

Dr. rer. nat. Gerta Rücker, Dipl.-Math. 

Medical Faculty and Medical Center - University of Freiburg
Institute for Medical Biometry and Statistics

Stefan-Meier-Strasse 26, D-79104 Freiburg, Germany

Phone +49 (0)761 2036673
Fax   +49 (0)761 2036680

Mail  <a class="moz-txt-link-abbreviated" href="mailto:ruecker@imbi.uni-freiburg.de">ruecker@imbi.uni-freiburg.de</a>
Web   <a class="moz-txt-link-abbreviated" href="http://www.imbi.uni-freiburg.de/biom/">www.imbi.uni-freiburg.de/biom/</a>

</pre>
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