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    <title>topic How to run diagnostics for logistic regression in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/How-to-run-diagnostics-for-logistic-regression/m-p/106566#M29692</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Proc glimmix data = cool plots=all;&lt;/P&gt;&lt;P&gt;Class a1 a2 a3 a4;&lt;/P&gt;&lt;P&gt;Model a1 = a2/ dist = binomial&amp;nbsp; s ddfm = kr;&lt;/P&gt;&lt;P&gt;Random a3/ subject = a4 residual type = cs;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Is there a way you can get the deviance and goodness of fit from proc glimmix?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 12 Apr 2013 16:58:01 GMT</pubDate>
    <dc:creator>coollord</dc:creator>
    <dc:date>2013-04-12T16:58:01Z</dc:date>
    <item>
      <title>How to run diagnostics for logistic regression</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-to-run-diagnostics-for-logistic-regression/m-p/106566#M29692</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Proc glimmix data = cool plots=all;&lt;/P&gt;&lt;P&gt;Class a1 a2 a3 a4;&lt;/P&gt;&lt;P&gt;Model a1 = a2/ dist = binomial&amp;nbsp; s ddfm = kr;&lt;/P&gt;&lt;P&gt;Random a3/ subject = a4 residual type = cs;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Is there a way you can get the deviance and goodness of fit from proc glimmix?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 12 Apr 2013 16:58:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-to-run-diagnostics-for-logistic-regression/m-p/106566#M29692</guid>
      <dc:creator>coollord</dc:creator>
      <dc:date>2013-04-12T16:58:01Z</dc:date>
    </item>
    <item>
      <title>Re: How to run diagnostics for logistic regression</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-to-run-diagnostics-for-logistic-regression/m-p/106567#M29693</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Try with Proc Logistic as follow...&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Proc Logistic data = cool descending;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; model a1 = a2 / DEVIANCE LACKFIT;&lt;/P&gt;&lt;P&gt;quit;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;If you want to predict the probability of success based on catogrical response variable then i think Proc Logistic is best to use, you dont need to specify BINOMIAL option on MODEL statement...&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;-Urvish&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sat, 13 Apr 2013 12:30:31 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-to-run-diagnostics-for-logistic-regression/m-p/106567#M29693</guid>
      <dc:creator>UrvishShah</dc:creator>
      <dc:date>2013-04-13T12:30:31Z</dc:date>
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