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    <title>topic Re: Question for BRFSS data in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Question-for-BRFSS-data/m-p/293309#M15601</link>
    <description>Or you could also check PROC GEE .</description>
    <pubDate>Tue, 23 Aug 2016 03:02:30 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2016-08-23T03:02:30Z</dc:date>
    <item>
      <title>Question for BRFSS data</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Question-for-BRFSS-data/m-p/293251#M15598</link>
      <description>&lt;P&gt;Hi all,&lt;/P&gt;
&lt;P&gt;I'm a new user of Proc Glimmix and I would like to specify a multi-level logistic model by using this procedure.&lt;/P&gt;
&lt;P&gt;The Data set I use is BRFSS. (Cluster sampling weight) From 2011 - 2014.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The dependent variable is either "Ever been tested" or "Tested in the past 12 month" . Also these two&amp;nbsp;variables are dummy variables.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The data set only contain one global weight for each observation.(_LLCPWT)&lt;/P&gt;
&lt;P&gt;Years(2011, 2012, 2013, 2014) are&amp;nbsp;level 2 variables in my model.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Currently my codes are as follows:&lt;/P&gt;
&lt;P&gt;proc glimmix data=xxx.test method=quadrature(qpoints=7) empirical=classical;&lt;BR /&gt;&amp;nbsp; &amp;nbsp; Class year;&lt;BR /&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;model "Dependent variables"&amp;nbsp;&amp;nbsp;= &amp;nbsp;"Here will be the independent variables" &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;/&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;dist=binomial link=logit obsweight = &lt;SPAN&gt;_LLCPWT&lt;/SPAN&gt; solution CL ODDSRATIO (DIFF=FIRST LABEL);&lt;BR /&gt;&amp;nbsp; &amp;nbsp; random intercept / subject=year cl;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Just wondering is there any suggetion of my code? Thank you very much!&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 22 Aug 2016 20:17:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Question-for-BRFSS-data/m-p/293251#M15598</guid>
      <dc:creator>yyuan</dc:creator>
      <dc:date>2016-08-22T20:17:06Z</dc:date>
    </item>
    <item>
      <title>Re: Question for BRFSS data</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Question-for-BRFSS-data/m-p/293309#M15601</link>
      <description>Or you could also check PROC GEE .</description>
      <pubDate>Tue, 23 Aug 2016 03:02:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Question-for-BRFSS-data/m-p/293309#M15601</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2016-08-23T03:02:30Z</dc:date>
    </item>
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