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    <title>topic Re: proc glimmix Residuals in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix-Residuals/m-p/204215#M10974</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;What are you going to do with the residuals from a binomial distribution?&amp;nbsp; Recall that there is no "error term" outside of the model formulation for a generalized linear mixed model that employs a binomial distribution, as there would be for models employing a normal or lognormal distribution.&amp;nbsp; Original scale "residuals" will consist of a set of negative ones, zeroes, and positive ones.&amp;nbsp; These are good for calculating concordances or ROC curves, if that is where you are going.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 21 Aug 2015 14:38:58 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2015-08-21T14:38:58Z</dc:date>
    <item>
      <title>proc glimmix Residuals</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix-Residuals/m-p/204213#M10972</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello everyone,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;This is my final survival model for a bird breeding colony, and I would take the residuals. I know that in proc mixed I must write "/outp=" just behind the model, but I do not know what should I use in proc glimmix.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;proc glimmix data=Survival INFOCRIT=PQ&amp;nbsp; noreml;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;class treartment attempt year nest ring;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;model &lt;SPAN style="font-size: 13.3333330154419px;"&gt;Survival &lt;/SPAN&gt;= treatment Year &lt;SPAN style="font-size: 13.3333330154419px;"&gt;attempt &lt;/SPAN&gt;Treatment*attempt size/ dist= binomial link=logit solution cl; &lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;random Year/ subject=ring(nest) type=Cs residual;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;lsmeans&amp;nbsp; treatment;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;run;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks very much for your help.&lt;/P&gt;&lt;P&gt;Best wishes,&lt;/P&gt;&lt;P&gt;Jaime&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 21 Aug 2015 11:43:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix-Residuals/m-p/204213#M10972</guid>
      <dc:creator>SpanishPhD</dc:creator>
      <dc:date>2015-08-21T11:43:05Z</dc:date>
    </item>
    <item>
      <title>Re: proc glimmix Residuals</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix-Residuals/m-p/204214#M10973</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The documentation for PROC GLIMMIX is very helpful. It says you should add an OUTPUT statement&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="http://support.sas.com/documentation/cdl/en/statug/67523/HTML/default/viewer.htm#statug_glimmix_syntax19.htm" title="http://support.sas.com/documentation/cdl/en/statug/67523/HTML/default/viewer.htm#statug_glimmix_syntax19.htm"&gt;SAS/STAT(R) 13.2 User's Guide&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 21 Aug 2015 12:31:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix-Residuals/m-p/204214#M10973</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2015-08-21T12:31:08Z</dc:date>
    </item>
    <item>
      <title>Re: proc glimmix Residuals</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix-Residuals/m-p/204215#M10974</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;What are you going to do with the residuals from a binomial distribution?&amp;nbsp; Recall that there is no "error term" outside of the model formulation for a generalized linear mixed model that employs a binomial distribution, as there would be for models employing a normal or lognormal distribution.&amp;nbsp; Original scale "residuals" will consist of a set of negative ones, zeroes, and positive ones.&amp;nbsp; These are good for calculating concordances or ROC curves, if that is where you are going.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 21 Aug 2015 14:38:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix-Residuals/m-p/204215#M10974</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2015-08-21T14:38:58Z</dc:date>
    </item>
    <item>
      <title>Re: proc glimmix Residuals</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix-Residuals/m-p/204216#M10975</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thank you very much!&lt;/P&gt;&lt;P&gt;In case of not getting the model residuals, I would not integrating the effect of "size". Then... Would it be correct to use only raw data to examine the results graphically without taking into account other significant covariates?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Best whishes,&lt;/P&gt;&lt;P&gt;Jaime&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sun, 23 Aug 2015 19:34:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-glimmix-Residuals/m-p/204216#M10975</guid>
      <dc:creator>SpanishPhD</dc:creator>
      <dc:date>2015-08-23T19:34:09Z</dc:date>
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