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    <title>topic Hierarchical clustered data (binomial outcome) in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Hierarchical-clustered-data-binomial-outcome/m-p/753899#M237682</link>
    <description>&lt;P&gt;Hello everyone:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have a dataset with hierarchically clustered data, meaning repeated measures per patient within repeated hospitals. I am trying to adjust for both levels in my model. I am thinking of using a proc glimmix for my binary outcome. As I unable to use the repeated statement, would this code adjust for my repeated measures per patient in addition to the correlation within hospitals?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;proc glimmix data= data1;&lt;BR /&gt;class hospital ender outcome patient_ID;&lt;BR /&gt;model outcome= gender/dist=binary link=logit ddfm=bw solution;&lt;BR /&gt;random hospital/ subject=patient_ID ;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;thanks,&lt;/P&gt;</description>
    <pubDate>Tue, 13 Jul 2021 19:31:47 GMT</pubDate>
    <dc:creator>nataliavanessa0</dc:creator>
    <dc:date>2021-07-13T19:31:47Z</dc:date>
    <item>
      <title>Hierarchical clustered data (binomial outcome)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Hierarchical-clustered-data-binomial-outcome/m-p/753899#M237682</link>
      <description>&lt;P&gt;Hello everyone:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have a dataset with hierarchically clustered data, meaning repeated measures per patient within repeated hospitals. I am trying to adjust for both levels in my model. I am thinking of using a proc glimmix for my binary outcome. As I unable to use the repeated statement, would this code adjust for my repeated measures per patient in addition to the correlation within hospitals?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;proc glimmix data= data1;&lt;BR /&gt;class hospital ender outcome patient_ID;&lt;BR /&gt;model outcome= gender/dist=binary link=logit ddfm=bw solution;&lt;BR /&gt;random hospital/ subject=patient_ID ;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;thanks,&lt;/P&gt;</description>
      <pubDate>Tue, 13 Jul 2021 19:31:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Hierarchical-clustered-data-binomial-outcome/m-p/753899#M237682</guid>
      <dc:creator>nataliavanessa0</dc:creator>
      <dc:date>2021-07-13T19:31:47Z</dc:date>
    </item>
    <item>
      <title>Re: Hierarchical clustered data (binomial outcome)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Hierarchical-clustered-data-binomial-outcome/m-p/754133#M237761</link>
      <description>Try reposting under Analytics menu - Statistical Procedures</description>
      <pubDate>Wed, 14 Jul 2021 17:17:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Hierarchical-clustered-data-binomial-outcome/m-p/754133#M237761</guid>
      <dc:creator>JOL</dc:creator>
      <dc:date>2021-07-14T17:17:52Z</dc:date>
    </item>
    <item>
      <title>Re: Hierarchical clustered data (binomial outcome)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Hierarchical-clustered-data-binomial-outcome/m-p/754145#M237764</link>
      <description>Thank you</description>
      <pubDate>Wed, 14 Jul 2021 17:52:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Hierarchical-clustered-data-binomial-outcome/m-p/754145#M237764</guid>
      <dc:creator>nataliavanessa0</dc:creator>
      <dc:date>2021-07-14T17:52:46Z</dc:date>
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