<?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 Logistic Regression Type III analysis DF = 0 estimate missing in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-Type-III-analysis-DF-0-estimate-missing/m-p/42591#M1839</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi, I ran a proc logistic on a binary response with a few covariates, some continuous and some categorical. When I checked the TYPE III analysis of effect, there is one line for a categorical covariate with DF = 0 and missing estimate. What is wrong here?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;﻿&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;TYPE III Analysis of Effect&lt;/P&gt;&lt;P&gt;Effect&amp;nbsp;&amp;nbsp; DF Chi-square&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Pr&amp;gt;Chisqr&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/P&gt;&lt;P&gt;﻿﻿﻿Age&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 1&amp;nbsp;&amp;nbsp; 58999.5037&amp;nbsp; &amp;lt;.0001&lt;/P&gt;&lt;P&gt;Indicator&amp;nbsp; 0&amp;nbsp;&amp;nbsp; .&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; .&lt;/P&gt;&lt;P&gt;gender&amp;nbsp;&amp;nbsp;&amp;nbsp; 1&amp;nbsp;&amp;nbsp; 3266.6988&amp;nbsp;&amp;nbsp; &amp;lt;.0001&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;﻿﻿&lt;P&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 31 Jan 2012 22:01:20 GMT</pubDate>
    <dc:creator>laura72</dc:creator>
    <dc:date>2012-01-31T22:01:20Z</dc:date>
    <item>
      <title>Logistic Regression Type III analysis DF = 0 estimate missing</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-Type-III-analysis-DF-0-estimate-missing/m-p/42591#M1839</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi, I ran a proc logistic on a binary response with a few covariates, some continuous and some categorical. When I checked the TYPE III analysis of effect, there is one line for a categorical covariate with DF = 0 and missing estimate. What is wrong here?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;﻿&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;TYPE III Analysis of Effect&lt;/P&gt;&lt;P&gt;Effect&amp;nbsp;&amp;nbsp; DF Chi-square&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Pr&amp;gt;Chisqr&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/P&gt;&lt;P&gt;﻿﻿﻿Age&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 1&amp;nbsp;&amp;nbsp; 58999.5037&amp;nbsp; &amp;lt;.0001&lt;/P&gt;&lt;P&gt;Indicator&amp;nbsp; 0&amp;nbsp;&amp;nbsp; .&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; .&lt;/P&gt;&lt;P&gt;gender&amp;nbsp;&amp;nbsp;&amp;nbsp; 1&amp;nbsp;&amp;nbsp; 3266.6988&amp;nbsp;&amp;nbsp; &amp;lt;.0001&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;﻿﻿&lt;P&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 31 Jan 2012 22:01:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-Type-III-analysis-DF-0-estimate-missing/m-p/42591#M1839</guid>
      <dc:creator>laura72</dc:creator>
      <dc:date>2012-01-31T22:01:20Z</dc:date>
    </item>
    <item>
      <title>Logistic Regression Type III analysis DF = 0 estimate missing</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-Type-III-analysis-DF-0-estimate-missing/m-p/42592#M1840</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;What does proc freq on the variable (indicator) do, with similar modelling restrictions (ie any where clause you used)?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 31 Jan 2012 22:27:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-Type-III-analysis-DF-0-estimate-missing/m-p/42592#M1840</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2012-01-31T22:27:56Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic Regression Type III analysis DF = 0 estimate missing</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-Type-III-analysis-DF-0-estimate-missing/m-p/42593#M1841</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Logistic Regression has a linear model component.&amp;nbsp; If any variable can be expressed as a linear combination of others, then it will show up with 0 degress of freedom and no estimate.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;For instance, if you had 0-1 binary variables called Female and Male, then &amp;lt;Female = 1 - Male&amp;gt; and one of them is redundant.&amp;nbsp; Usually, it is not as bovious as my example and you might need to do some two way frequencies or correlations to tease out the dependency.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Doc Muhlbaier&lt;/P&gt;&lt;P&gt;Duke&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 01 Feb 2012 15:20:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-Type-III-analysis-DF-0-estimate-missing/m-p/42593#M1841</guid>
      <dc:creator>Doc_Duke</dc:creator>
      <dc:date>2012-02-01T15:20:28Z</dc:date>
    </item>
  </channel>
</rss>

