<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Model assessment in cummulative logit Regression in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Model-assessment-in-cummulative-logit-Regression/m-p/487479#M25286</link>
    <description>&lt;P&gt;Yes, you can use that statistic (the concordance index, c) for comparing competing models. See also the information in &lt;A href="http://support.sas.com/kb/22630" target="_self"&gt;this note&lt;/A&gt; on assessing fit in multinomial models.&lt;/P&gt;</description>
    <pubDate>Thu, 16 Aug 2018 15:34:50 GMT</pubDate>
    <dc:creator>StatDave</dc:creator>
    <dc:date>2018-08-16T15:34:50Z</dc:date>
    <item>
      <title>Model assessment in cummulative logit Regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Model-assessment-in-cummulative-logit-Regression/m-p/487038#M25257</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am building cumulative logit Regression model with "PROC LOGISTIC". I wonder how to evaluate the&amp;nbsp;performance of the &amp;nbsp;model. I saw c statistics in the output, may I use that one as we use it in the binary logistic regression (the higher the better)? Thank you.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 15 Aug 2018 15:27:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Model-assessment-in-cummulative-logit-Regression/m-p/487038#M25257</guid>
      <dc:creator>lionking19063</dc:creator>
      <dc:date>2018-08-15T15:27:51Z</dc:date>
    </item>
    <item>
      <title>Re: Model assessment in cummulative logit Regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Model-assessment-in-cummulative-logit-Regression/m-p/487479#M25286</link>
      <description>&lt;P&gt;Yes, you can use that statistic (the concordance index, c) for comparing competing models. See also the information in &lt;A href="http://support.sas.com/kb/22630" target="_self"&gt;this note&lt;/A&gt; on assessing fit in multinomial models.&lt;/P&gt;</description>
      <pubDate>Thu, 16 Aug 2018 15:34:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Model-assessment-in-cummulative-logit-Regression/m-p/487479#M25286</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2018-08-16T15:34:50Z</dc:date>
    </item>
  </channel>
</rss>

