<?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: Proc Glimmix in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix/m-p/623407#M30025</link>
    <description>&lt;P&gt;These type of repeated measures over time could be handled by the RANDOM statement in PROC GLIMMIX. Guidance for choosing a covariance structure: &lt;A href="https://support.sas.com/resources/papers/proceedings/proceedings/sugi30/198-30.pdf" target="_blank"&gt;https://support.sas.com/resources/papers/proceedings/proceedings/sugi30/198-30.pdf&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Sun, 09 Feb 2020 13:09:33 GMT</pubDate>
    <dc:creator>PaigeMiller</dc:creator>
    <dc:date>2020-02-09T13:09:33Z</dc:date>
    <item>
      <title>Proc Glimmix</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix/m-p/623327#M30018</link>
      <description>&lt;P&gt;Dear SAS Users,&lt;/P&gt;&lt;P&gt;I am working with a longitudinal data with binary outcomes observed at time 4, 12, 24, 36 and 48 weeks.&lt;/P&gt;&lt;P&gt;I am looking for a SAS text on the use of PROC Glimmix for this kind of analysis.&lt;/P&gt;&lt;P&gt;I would also like to find a text to help me with the choice of&amp;nbsp; covariance pattern&amp;nbsp; for this multilevel model.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you in advance.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Iuri&lt;/P&gt;</description>
      <pubDate>Sat, 08 Feb 2020 18:24:37 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix/m-p/623327#M30018</guid>
      <dc:creator>iuri_leite</dc:creator>
      <dc:date>2020-02-08T18:24:37Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Glimmix</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix/m-p/623407#M30025</link>
      <description>&lt;P&gt;These type of repeated measures over time could be handled by the RANDOM statement in PROC GLIMMIX. Guidance for choosing a covariance structure: &lt;A href="https://support.sas.com/resources/papers/proceedings/proceedings/sugi30/198-30.pdf" target="_blank"&gt;https://support.sas.com/resources/papers/proceedings/proceedings/sugi30/198-30.pdf&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Sun, 09 Feb 2020 13:09:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix/m-p/623407#M30025</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-02-09T13:09:33Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Glimmix</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix/m-p/666900#M31794</link>
      <description>&lt;P&gt;Dear Paige Miller,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;thanks a lot.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Iuri&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 03 Jul 2020 21:13:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-Glimmix/m-p/666900#M31794</guid>
      <dc:creator>iuri_leite</dc:creator>
      <dc:date>2020-07-03T21:13:40Z</dc:date>
    </item>
  </channel>
</rss>

