<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: ICC in multi-level beta regression in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/ICC-in-multi-level-beta-regression/m-p/789692#M38711</link>
    <description>&lt;P&gt;Search it at&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://support.sas.com/kb/30/333.html" target="_blank"&gt;https://support.sas.com/kb/30/333.html&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Ksharp_0-1641991761034.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/67345i7DDB316DDD7EBFF5/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Ksharp_0-1641991761034.png" alt="Ksharp_0-1641991761034.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 12 Jan 2022 12:49:46 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2022-01-12T12:49:46Z</dc:date>
    <item>
      <title>ICC in multi-level beta regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/ICC-in-multi-level-beta-regression/m-p/789630#M38710</link>
      <description>&lt;P&gt;Could anyone help me figure out how to calculate intraclass correlation&lt;SPAN&gt;&amp;nbsp;coefficient for a two-level beta regression model? I am using proc glimmix and dist=beta link=logit options. The output doesn't produce variance of level-1 residuals, which is typically used to calculate ICC. Is there a way to calculate that variance? Could the following formula be used in this case (&lt;A href="https://support.sas.com/resources/papers/proceedings15/3430-2015.pdf" target="_self"&gt;found it in this document&lt;/A&gt;)?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="user201_0-1641955872373.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/67336iA3C6A367487C5C12/image-size/medium?v=v2&amp;amp;px=400" role="button" title="user201_0-1641955872373.png" alt="user201_0-1641955872373.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Thank you!&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 12 Jan 2022 02:54:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/ICC-in-multi-level-beta-regression/m-p/789630#M38710</guid>
      <dc:creator>user201</dc:creator>
      <dc:date>2022-01-12T02:54:03Z</dc:date>
    </item>
    <item>
      <title>Re: ICC in multi-level beta regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/ICC-in-multi-level-beta-regression/m-p/789692#M38711</link>
      <description>&lt;P&gt;Search it at&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://support.sas.com/kb/30/333.html" target="_blank"&gt;https://support.sas.com/kb/30/333.html&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Ksharp_0-1641991761034.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/67345i7DDB316DDD7EBFF5/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Ksharp_0-1641991761034.png" alt="Ksharp_0-1641991761034.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 12 Jan 2022 12:49:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/ICC-in-multi-level-beta-regression/m-p/789692#M38711</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2022-01-12T12:49:46Z</dc:date>
    </item>
    <item>
      <title>Re: ICC in multi-level beta regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/ICC-in-multi-level-beta-regression/m-p/790692#M38768</link>
      <description>&lt;P&gt;Take a look at the example&amp;nbsp;&lt;A href="https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_glimmix_examples24.htm" target="_self"&gt;https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_glimmix_examples24.htm&lt;/A&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The variance components needed to calculate an ICC appear in the Covariance Parameter Estimates table in the output, which has the ODS table name CovParms.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;SteveDenham&lt;/P&gt;</description>
      <pubDate>Tue, 18 Jan 2022 14:54:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/ICC-in-multi-level-beta-regression/m-p/790692#M38768</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2022-01-18T14:54:49Z</dc:date>
    </item>
  </channel>
</rss>

