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    <title>topic Re: How to analyze clustered and interval-censored data in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-analyze-clustered-and-interval-censored-data/m-p/712106#M34433</link>
    <description>&lt;P&gt;Perhaps the easiest would be to consider the demographic variables as fixed covariates.&amp;nbsp; Include them in a CLASS statement and in the MODEL statement.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you wish to treat the demographic variables as random effects, you will probably have to try coding in NLMIXED to handle both the distribution and censoring issues. GENMOD and GLIMMIX do not correctly address censoring.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;SteveDenham&lt;/P&gt;</description>
    <pubDate>Mon, 18 Jan 2021 13:07:30 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2021-01-18T13:07:30Z</dc:date>
    <item>
      <title>How to analyze clustered and interval-censored data</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-analyze-clustered-and-interval-censored-data/m-p/710251#M34423</link>
      <description>&lt;P&gt;I have been analyzing data that contains &lt;STRONG&gt;right,left, and interval censoring&lt;/STRONG&gt; using the following code in SAS:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;proc lifereg data=&amp;amp;data; class &amp;amp;class; model (&amp;amp;out._age_time1,&amp;amp;out._age_time2) = &amp;amp;vars /dist=weibull; run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am now interested in clustering by&amp;nbsp;one or two&amp;nbsp;demographic variables. How can I achieve is?&lt;/P&gt;</description>
      <pubDate>Fri, 08 Jan 2021 18:36:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-analyze-clustered-and-interval-censored-data/m-p/710251#M34423</guid>
      <dc:creator>saghaee</dc:creator>
      <dc:date>2021-01-08T18:36:35Z</dc:date>
    </item>
    <item>
      <title>Re: How to analyze clustered and interval-censored data</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-analyze-clustered-and-interval-censored-data/m-p/711986#M34424</link>
      <description>&lt;P&gt;Moved to &lt;EM&gt;statistics&lt;/EM&gt; community.&lt;/P&gt;</description>
      <pubDate>Sun, 17 Jan 2021 21:13:31 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-analyze-clustered-and-interval-censored-data/m-p/711986#M34424</guid>
      <dc:creator>ChrisNZ</dc:creator>
      <dc:date>2021-01-17T21:13:31Z</dc:date>
    </item>
    <item>
      <title>Re: How to analyze clustered and interval-censored data</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-analyze-clustered-and-interval-censored-data/m-p/712106#M34433</link>
      <description>&lt;P&gt;Perhaps the easiest would be to consider the demographic variables as fixed covariates.&amp;nbsp; Include them in a CLASS statement and in the MODEL statement.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you wish to treat the demographic variables as random effects, you will probably have to try coding in NLMIXED to handle both the distribution and censoring issues. GENMOD and GLIMMIX do not correctly address censoring.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;SteveDenham&lt;/P&gt;</description>
      <pubDate>Mon, 18 Jan 2021 13:07:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-analyze-clustered-and-interval-censored-data/m-p/712106#M34433</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2021-01-18T13:07:30Z</dc:date>
    </item>
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