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    <title>topic Multilevel logistic regression oddsratio statement in GLIMMIX in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Multilevel-logistic-regression-oddsratio-statement-in-GLIMMIX/m-p/479272#M24941</link>
    <description>&lt;P&gt;Can someone enlighten me as to why these different model specifications output different values for select odds ratios (highlighted)? And which is correct?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;proc glimmix data=deployments_and_dwells ic=pq;
	class randomid_adsaged dwellratio_cat(ref='low') officer2_begin marital_status_begin occupation_begin officer2_end marital_status_end occupation_end ;
	model ptsd (event="1") = dwellratio_cat dep_length_months count dwellratio_cat*count first_mos_begin waiver age sex
		/ dist=binary link=logit ddfm=bw solution cl oddsratio;
	random intercept / subject = randomid_adsaged;
	covtest / wald;
	output out=nonmiss_data / nomiss;
	where prior_sub = 0;
run;&lt;/PRE&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Capture.PNG" style="width: 600px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/21853iCBE73FAD565FE96B/image-size/large?v=v2&amp;amp;px=999" role="button" title="Capture.PNG" alt="Capture.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;PRE&gt;proc glimmix data=deployments_and_dwells ic=pq;
	class randomid_adsaged dwellratio_cat(ref='low') officer2_begin marital_status_begin occupation_begin officer2_end marital_status_end occupation_end ;
	model ptsd (event="1") = dwellratio_cat dep_length_months count dwellratio_cat*count first_mos_begin waiver age sex 
		/ dist=binary link=logit ddfm=bw solution cl oddsratio(label at count=1.6832 at dep_length_months=6.8151 at first_mos_begin=18.594 at waiver=0.5048 at age=19.794 at sex=0.9767);
	random intercept / subject = randomid_adsaged;
	covtest / wald;
	output out=nonmiss_data / nomiss;
	where prior_ptsd = 0;
run;&lt;/PRE&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Capture2.PNG" style="width: 600px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/21854i14ACCF3F66E0C7B3/image-size/large?v=v2&amp;amp;px=999" role="button" title="Capture2.PNG" alt="Capture2.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 19 Jul 2018 13:56:53 GMT</pubDate>
    <dc:creator>alevinrec</dc:creator>
    <dc:date>2018-07-19T13:56:53Z</dc:date>
    <item>
      <title>Multilevel logistic regression oddsratio statement in GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Multilevel-logistic-regression-oddsratio-statement-in-GLIMMIX/m-p/479272#M24941</link>
      <description>&lt;P&gt;Can someone enlighten me as to why these different model specifications output different values for select odds ratios (highlighted)? And which is correct?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;proc glimmix data=deployments_and_dwells ic=pq;
	class randomid_adsaged dwellratio_cat(ref='low') officer2_begin marital_status_begin occupation_begin officer2_end marital_status_end occupation_end ;
	model ptsd (event="1") = dwellratio_cat dep_length_months count dwellratio_cat*count first_mos_begin waiver age sex
		/ dist=binary link=logit ddfm=bw solution cl oddsratio;
	random intercept / subject = randomid_adsaged;
	covtest / wald;
	output out=nonmiss_data / nomiss;
	where prior_sub = 0;
run;&lt;/PRE&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Capture.PNG" style="width: 600px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/21853iCBE73FAD565FE96B/image-size/large?v=v2&amp;amp;px=999" role="button" title="Capture.PNG" alt="Capture.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;PRE&gt;proc glimmix data=deployments_and_dwells ic=pq;
	class randomid_adsaged dwellratio_cat(ref='low') officer2_begin marital_status_begin occupation_begin officer2_end marital_status_end occupation_end ;
	model ptsd (event="1") = dwellratio_cat dep_length_months count dwellratio_cat*count first_mos_begin waiver age sex 
		/ dist=binary link=logit ddfm=bw solution cl oddsratio(label at count=1.6832 at dep_length_months=6.8151 at first_mos_begin=18.594 at waiver=0.5048 at age=19.794 at sex=0.9767);
	random intercept / subject = randomid_adsaged;
	covtest / wald;
	output out=nonmiss_data / nomiss;
	where prior_ptsd = 0;
run;&lt;/PRE&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Capture2.PNG" style="width: 600px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/21854i14ACCF3F66E0C7B3/image-size/large?v=v2&amp;amp;px=999" role="button" title="Capture2.PNG" alt="Capture2.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 19 Jul 2018 13:56:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Multilevel-logistic-regression-oddsratio-statement-in-GLIMMIX/m-p/479272#M24941</guid>
      <dc:creator>alevinrec</dc:creator>
      <dc:date>2018-07-19T13:56:53Z</dc:date>
    </item>
    <item>
      <title>Re: Multilevel logistic regression oddsratio statement in GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Multilevel-logistic-regression-oddsratio-statement-in-GLIMMIX/m-p/479301#M24942</link>
      <description>&lt;P&gt;The most obvious thing is&lt;/P&gt;
&lt;P&gt;model subabuse (event="1")&lt;/P&gt;
&lt;P&gt;vs&lt;/P&gt;
&lt;P&gt;model ptsd (event="1")&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Given different models I would expect different odds ratios&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 18 Jul 2018 21:54:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Multilevel-logistic-regression-oddsratio-statement-in-GLIMMIX/m-p/479301#M24942</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2018-07-18T21:54:15Z</dc:date>
    </item>
    <item>
      <title>Re: Multilevel logistic regression oddsratio statement in GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Multilevel-logistic-regression-oddsratio-statement-in-GLIMMIX/m-p/479504#M24943</link>
      <description>&lt;P&gt;Sorry that was a typo. The outcome is ptsd in both models.&lt;/P&gt;</description>
      <pubDate>Thu, 19 Jul 2018 13:57:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Multilevel-logistic-regression-oddsratio-statement-in-GLIMMIX/m-p/479504#M24943</guid>
      <dc:creator>alevinrec</dc:creator>
      <dc:date>2018-07-19T13:57:20Z</dc:date>
    </item>
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