<?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 comparing nested logistic regression models in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/comparing-nested-logistic-regression-models/m-p/257367#M49394</link>
    <description>&lt;P&gt;Hello, Please can someone help me with find a way to compare these two nested logistic regression models using partial likelihood ratio test?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;&lt;CODE&gt;Proc Logistic Data=Project_C;
Model Dem (event='1') = VEP TIF Income NonCit Unemployed Swing;
Run;&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;and&lt;/P&gt;&lt;PRE&gt;&lt;CODE&gt;Proc Logistic Data=Project_C;
Model Dem (Event='1') = VEP TIF Income;
Run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
    <pubDate>Thu, 17 Mar 2016 17:08:56 GMT</pubDate>
    <dc:creator>atijjani</dc:creator>
    <dc:date>2016-03-17T17:08:56Z</dc:date>
    <item>
      <title>comparing nested logistic regression models</title>
      <link>https://communities.sas.com/t5/SAS-Programming/comparing-nested-logistic-regression-models/m-p/257367#M49394</link>
      <description>&lt;P&gt;Hello, Please can someone help me with find a way to compare these two nested logistic regression models using partial likelihood ratio test?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;&lt;CODE&gt;Proc Logistic Data=Project_C;
Model Dem (event='1') = VEP TIF Income NonCit Unemployed Swing;
Run;&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;and&lt;/P&gt;&lt;PRE&gt;&lt;CODE&gt;Proc Logistic Data=Project_C;
Model Dem (Event='1') = VEP TIF Income;
Run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Thu, 17 Mar 2016 17:08:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/comparing-nested-logistic-regression-models/m-p/257367#M49394</guid>
      <dc:creator>atijjani</dc:creator>
      <dc:date>2016-03-17T17:08:56Z</dc:date>
    </item>
    <item>
      <title>Re: comparing nested logistic regression models</title>
      <link>https://communities.sas.com/t5/SAS-Programming/comparing-nested-logistic-regression-models/m-p/383642#M91520</link>
      <description>&lt;P&gt;Model Evaluation is a very vast topic and can not be covered in a blog post.&lt;/P&gt;&lt;P&gt;Logistic models are generally compared / selected on the basis of confusion matrix.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;You will have to build a confusion matrix comprising of TRUE NEGATIVE, FALSE NEGATIVE, TRUE POSITIVITY and FALSE POSITIVE.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;That's&amp;nbsp;the starting point. for you. With no data available that's all I can help you with&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 28 Jul 2017 11:55:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/comparing-nested-logistic-regression-models/m-p/383642#M91520</guid>
      <dc:creator>subobscure</dc:creator>
      <dc:date>2017-07-28T11:55:02Z</dc:date>
    </item>
  </channel>
</rss>

