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    <title>topic Re: How to run proc GLIMMIX for repeated measures in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-run-proc-GLIMMIX-for-repeated-measures/m-p/342313#M17997</link>
    <description>&lt;PRE&gt;
In GLIMMIX , use RANDOM to get repeated measures ( R- side random effect).

proc glimmix data=have;
class disease (ref='0')  id year ;
model pcs = disease year disease*year / cl;
random year/subject=id type=ar(1) residual;
run;



&lt;/PRE&gt;</description>
    <pubDate>Sun, 19 Mar 2017 02:30:44 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2017-03-19T02:30:44Z</dc:date>
    <item>
      <title>How to run proc GLIMMIX for repeated measures</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-run-proc-GLIMMIX-for-repeated-measures/m-p/342251#M17990</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I use SAS 9.4 and I have a data set like this:&lt;/P&gt;&lt;P&gt;ID &amp;nbsp; &amp;nbsp; pcs &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;year &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;disease&lt;/P&gt;&lt;P&gt;1 &amp;nbsp; &amp;nbsp; &amp;nbsp; 45 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1&lt;/P&gt;&lt;P&gt;1 &amp;nbsp; &amp;nbsp; &amp;nbsp; 47 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1&lt;/P&gt;&lt;P&gt;1 &amp;nbsp; &amp;nbsp; &amp;nbsp; 50 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1&lt;/P&gt;&lt;P&gt;2 &amp;nbsp; &amp;nbsp; &amp;nbsp; 42 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&lt;/P&gt;&lt;P&gt;2 &amp;nbsp; &amp;nbsp; &amp;nbsp; 43 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&lt;/P&gt;&lt;P&gt;2 &amp;nbsp; &amp;nbsp; &amp;nbsp; 46 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&lt;/P&gt;&lt;P&gt;3 &amp;nbsp; &amp;nbsp; &amp;nbsp; 40 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&lt;/P&gt;&lt;P&gt;3 &amp;nbsp; &amp;nbsp; &amp;nbsp; 40 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&lt;/P&gt;&lt;P&gt;3 &amp;nbsp; &amp;nbsp; &amp;nbsp; 49 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&lt;/P&gt;&lt;P&gt;...&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I want to see how the presence or absence of disease affect the PCS scores rate of change from year 1 to year 3 for each subject. I run the following codes:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;proc glimmix data=have;&lt;BR /&gt;class disease (ref='0');&lt;BR /&gt;model pcs = disease year disease*year / cl;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Then I got the results but I do not think it is correct, since the estimate for intercept is around 12, but the average pcs at year 1 is over 40 instead of 12. Does anyone can help me figure out the problem?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you!&lt;/P&gt;</description>
      <pubDate>Sat, 18 Mar 2017 18:10:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-run-proc-GLIMMIX-for-repeated-measures/m-p/342251#M17990</guid>
      <dc:creator>Therain</dc:creator>
      <dc:date>2017-03-18T18:10:42Z</dc:date>
    </item>
    <item>
      <title>Re: How to run proc GLIMMIX for repeated measures</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-run-proc-GLIMMIX-for-repeated-measures/m-p/342313#M17997</link>
      <description>&lt;PRE&gt;
In GLIMMIX , use RANDOM to get repeated measures ( R- side random effect).

proc glimmix data=have;
class disease (ref='0')  id year ;
model pcs = disease year disease*year / cl;
random year/subject=id type=ar(1) residual;
run;



&lt;/PRE&gt;</description>
      <pubDate>Sun, 19 Mar 2017 02:30:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-run-proc-GLIMMIX-for-repeated-measures/m-p/342313#M17997</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2017-03-19T02:30:44Z</dc:date>
    </item>
    <item>
      <title>Re: How to run proc GLIMMIX for repeated measures</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-run-proc-GLIMMIX-for-repeated-measures/m-p/342371#M18000</link>
      <description>&lt;P&gt;Thank you for the reply! When I run your codes I met another problem.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I can get parameter estimates for intercept, disease, year, and disease*year. But when I add some other covariates into the model, i found that the estimates for intercept and disease changed but the estimate for disease*year remained the same. I am not quite sure if this is correct? (I think the estimate for disease*year should change and the estimates for intercept and disease should remain the same).&lt;/P&gt;</description>
      <pubDate>Sun, 19 Mar 2017 17:41:14 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-run-proc-GLIMMIX-for-repeated-measures/m-p/342371#M18000</guid>
      <dc:creator>Therain</dc:creator>
      <dc:date>2017-03-19T17:41:14Z</dc:date>
    </item>
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