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    <title>topic Re: GENMOD + REPEATED for fitting model with repeated measurement data in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679149#M32660</link>
    <description>&lt;P&gt;Yes, the distribution is&amp;nbsp;Gaussian, and thank you for you help.&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 25 Aug 2020 13:43:14 GMT</pubDate>
    <dc:creator>SHINAR</dc:creator>
    <dc:date>2020-08-25T13:43:14Z</dc:date>
    <item>
      <title>GENMOD + REPEATED for fitting model with repeated measurement data</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679036#M32649</link>
      <description>&lt;P&gt;I have a repeated-measurement data including 1.8 million observations, and each individual contains more than one recording. I wonder to explore the relationship between outcome and exposure using PROC GLIMMIX, like this:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;LI-CODE lang="markup"&gt;proc glimmix data=mydata;

      class id stage;

      model outcome=exposure confoundings / solution cl;

     random int / subject=id(stage);

run;&lt;/LI-CODE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;But, SAS log specified an error that is "Model is too large to be fit by PROC GLIMMIX in a reasonable amount of time on this system. Consider changing your model."&amp;nbsp;&lt;/P&gt;&lt;P&gt;I want to know if could I use PROC GENMOD+REPEATED instead to fit my model.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;LI-CODE lang="markup"&gt;proc genmod data=mydata;

    class id source;

    model outcome=exposure confoundings ;

    repeated subject=id /within=stage;

run;&lt;/LI-CODE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 25 Aug 2020 02:00:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679036#M32649</guid>
      <dc:creator>SHINAR</dc:creator>
      <dc:date>2020-08-25T02:00:18Z</dc:date>
    </item>
    <item>
      <title>Re: GENMOD + REPEATED for fitting model with repeated measurement data</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679137#M32654</link>
      <description>&lt;P&gt;First, is what sort of variable is 'outcome'?&amp;nbsp; I don't see a specification of a distribution in either the code for GLIMMIX or GENMOD, which means the default distribution is Gaussian.&amp;nbsp; If that is the case, then consider using PROC HPMIXED. The overview in the documentation (&lt;A href="https://documentation.sas.com/?docsetId=statug&amp;amp;docsetVersion=15.1&amp;amp;docsetTarget=statug_hpmixed_overview.htm&amp;amp;locale=en" target="_self"&gt;here&lt;/A&gt;&amp;nbsp;) makes it look like your situation is what HPMIXED was designed for (large number of observations).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Code would resemble this (to start)&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc hpmixed data=mydata;
      class id stage;
      model outcome=exposure confoundings / solution cl;
      random int / subject=id(stage);
      test exposure confoundings:
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;Depending on the nature of exposure and confoundings, they may need to be added to the CLASS statement.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;SteveDenham&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 25 Aug 2020 12:23:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679137#M32654</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2020-08-25T12:23:50Z</dc:date>
    </item>
    <item>
      <title>Re: GENMOD + REPEATED for fitting model with repeated measurement data</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679138#M32655</link>
      <description>I think you are right. GLMM is for marginal effect , while GEE is for population effect, they both have the similar output .&lt;BR /&gt;&lt;BR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13758"&gt;@lvm&lt;/a&gt;  &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13633"&gt;@StatDave&lt;/a&gt;</description>
      <pubDate>Tue, 25 Aug 2020 12:32:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679138#M32655</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2020-08-25T12:32:30Z</dc:date>
    </item>
    <item>
      <title>Re: GENMOD + REPEATED for fitting model with repeated measurement data</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679141#M32657</link>
      <description>&lt;P&gt;Plus, we have yet to recognize the repeated measures nature of the data with an appropriate REPEATED statement. The current version only deals with a G-side random slope.&amp;nbsp; The variable that indexes the repeated measures has not been mentioned yet.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;SteveDenham&lt;/P&gt;</description>
      <pubDate>Tue, 25 Aug 2020 12:36:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679141#M32657</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2020-08-25T12:36:00Z</dc:date>
    </item>
    <item>
      <title>Re: GENMOD + REPEATED for fitting model with repeated measurement data</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679149#M32660</link>
      <description>&lt;P&gt;Yes, the distribution is&amp;nbsp;Gaussian, and thank you for you help.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 25 Aug 2020 13:43:14 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679149#M32660</guid>
      <dc:creator>SHINAR</dc:creator>
      <dc:date>2020-08-25T13:43:14Z</dc:date>
    </item>
    <item>
      <title>Re: GENMOD + REPEATED for fitting model with repeated measurement data</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679150#M32661</link>
      <description>&lt;P&gt;Thank you for you help. I have read some articles about this issue, and GEE with repeated method seems more suitable for my data.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 25 Aug 2020 13:50:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679150#M32661</guid>
      <dc:creator>SHINAR</dc:creator>
      <dc:date>2020-08-25T13:50:17Z</dc:date>
    </item>
    <item>
      <title>Re: GENMOD + REPEATED for fitting model with repeated measurement data</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679154#M32662</link>
      <description>&lt;P&gt;If you want to fit a GEE model, I suggest using the newer PROC GEE rather than PROC GENMOD. Same syntax.&lt;/P&gt;</description>
      <pubDate>Tue, 25 Aug 2020 14:05:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679154#M32662</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2020-08-25T14:05:26Z</dc:date>
    </item>
    <item>
      <title>Re: GENMOD + REPEATED for fitting model with repeated measurement data</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679439#M32685</link>
      <description>&lt;P&gt;If you run into memory issues with PROC GEE, then you have this to fall back on.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;SteveDenham&lt;/P&gt;</description>
      <pubDate>Wed, 26 Aug 2020 13:01:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/GENMOD-REPEATED-for-fitting-model-with-repeated-measurement-data/m-p/679439#M32685</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2020-08-26T13:01:45Z</dc:date>
    </item>
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