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    <title>topic Re: PROC GLIMMIX - Interaction effect independent for each entry in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix/m-p/508668#M26095</link>
    <description>&lt;P&gt;I have chosen to do the problem a different way so I no longer need this question answered, thanks!&lt;/P&gt;</description>
    <pubDate>Tue, 30 Oct 2018 13:00:42 GMT</pubDate>
    <dc:creator>erinberry2</dc:creator>
    <dc:date>2018-10-30T13:00:42Z</dc:date>
    <item>
      <title>proc glimmix</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix/m-p/507748#M26074</link>
      <description>&lt;P&gt;I am trying to use PROC GLIMMIX to analyze a dataset with multiple levels. Within the bottom level, I have 8 months of data, and I would like to determine an individual estimate for each variable*date interaction within each entry, using this variable*date statement within the model statement. However, the estimates seem to be based on the entire 8 months of data, not just the desired month, since the estimate changes based on the number of months in the analysis.&amp;nbsp;&lt;/P&gt;&lt;P&gt;Is there a way to run the GLIMMIX interaction effect but have each row of data interact independently from the rest of the group in the dataset?&lt;/P&gt;</description>
      <pubDate>Tue, 30 Oct 2018 12:59:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix/m-p/507748#M26074</guid>
      <dc:creator>erinberry2</dc:creator>
      <dc:date>2018-10-30T12:59:56Z</dc:date>
    </item>
    <item>
      <title>Re: PROC GLIMMIX - Interaction effect independent for each entry</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix/m-p/508568#M26088</link>
      <description>&lt;P&gt;We don't have enough here yet to work with.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Please provide more information about your study design, definition of terms (e.g., "individual", "entry", "variable", "group"), your attempt at code, and an example of your dataset.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Edit: It would also be good to know more precisely what you mean by "Interaction effect independent for each entry".&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 30 Oct 2018 02:12:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix/m-p/508568#M26088</guid>
      <dc:creator>sld</dc:creator>
      <dc:date>2018-10-30T02:12:42Z</dc:date>
    </item>
    <item>
      <title>Re: PROC GLIMMIX - Interaction effect independent for each entry</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix/m-p/508668#M26095</link>
      <description>&lt;P&gt;I have chosen to do the problem a different way so I no longer need this question answered, thanks!&lt;/P&gt;</description>
      <pubDate>Tue, 30 Oct 2018 13:00:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix/m-p/508668#M26095</guid>
      <dc:creator>erinberry2</dc:creator>
      <dc:date>2018-10-30T13:00:42Z</dc:date>
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