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    <title>topic Modeling paired data with GLMM? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Modeling-paired-data-with-GLMM/m-p/22535#M738</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt; This should model what you are looking for:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Proc GLIMMIX data=...;&lt;/P&gt;&lt;P&gt;CLASS nest ID behavior;&lt;/P&gt;&lt;P&gt;MODEL age = behavior / dist=poisson link=log solution;&lt;/P&gt;&lt;P&gt;RANDOM&amp;nbsp; nest;&lt;/P&gt;&lt;P&gt;RANDOM behavior / residual type=vc subject=ID;&lt;/P&gt;&lt;P&gt;run;quit;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I hope this helps.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 06 Mar 2012 12:45:16 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2012-03-06T12:45:16Z</dc:date>
    <item>
      <title>Modeling paired data with GLMM?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Modeling-paired-data-with-GLMM/m-p/22534#M737</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I am trying to test for differences in the ages at when two different behaviors emerge in nestlings birds. Age distributions of the two behaviors are reasonably normally distributed.&amp;nbsp; We have the ages of both behaviors recorded for each of 53 individuals, so I could use a paired t-test, but need to control for non-independence of sibling groups. The 53 nestlings come from 21 different nests, thus some nestlings were not independent (siblings had the same parents, habitat, etc.,).&amp;nbsp; Here is my code:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Proc GLIMMIX data=...;&lt;/P&gt;&lt;P&gt;CLASS nest ID behavior;&lt;/P&gt;&lt;P&gt;MODEL age = behavior / dist=poisson link=log solution;&lt;/P&gt;&lt;P&gt;RANDOM&amp;nbsp; nest;&lt;/P&gt;&lt;P&gt;RANDOM residual / type=vc subject=ID;&lt;/P&gt;&lt;P&gt;run;quit;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Does this seem appropriate?&amp;nbsp; Thanks!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 06 Mar 2012 00:19:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Modeling-paired-data-with-GLMM/m-p/22534#M737</guid>
      <dc:creator>ksb39</dc:creator>
      <dc:date>2012-03-06T00:19:26Z</dc:date>
    </item>
    <item>
      <title>Modeling paired data with GLMM?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Modeling-paired-data-with-GLMM/m-p/22535#M738</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt; This should model what you are looking for:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Proc GLIMMIX data=...;&lt;/P&gt;&lt;P&gt;CLASS nest ID behavior;&lt;/P&gt;&lt;P&gt;MODEL age = behavior / dist=poisson link=log solution;&lt;/P&gt;&lt;P&gt;RANDOM&amp;nbsp; nest;&lt;/P&gt;&lt;P&gt;RANDOM behavior / residual type=vc subject=ID;&lt;/P&gt;&lt;P&gt;run;quit;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I hope this helps.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 06 Mar 2012 12:45:16 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Modeling-paired-data-with-GLMM/m-p/22535#M738</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2012-03-06T12:45:16Z</dc:date>
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