<?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 Overdispersion tests and Generalized Linear Models in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Overdispersion-tests-and-Generalized-Linear-Models/m-p/2123#M2123</link>
    <description>Hello,&lt;BR /&gt;&lt;BR /&gt;If I check the Overdispersion box when doing Generalized Linear Models in JMP8 do the resulting effect tests control for any overdispersion present in the data?&lt;BR /&gt;&lt;BR /&gt;Thanks for any help.&lt;BR /&gt;SC.</description>
    <pubDate>Wed, 14 Jul 2010 11:08:05 GMT</pubDate>
    <dc:creator />
    <dc:date>2010-07-14T11:08:05Z</dc:date>
    <item>
      <title>Overdispersion tests and Generalized Linear Models</title>
      <link>https://community.jmp.com/t5/Discussions/Overdispersion-tests-and-Generalized-Linear-Models/m-p/2123#M2123</link>
      <description>Hello,&lt;BR /&gt;&lt;BR /&gt;If I check the Overdispersion box when doing Generalized Linear Models in JMP8 do the resulting effect tests control for any overdispersion present in the data?&lt;BR /&gt;&lt;BR /&gt;Thanks for any help.&lt;BR /&gt;SC.</description>
      <pubDate>Wed, 14 Jul 2010 11:08:05 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Overdispersion-tests-and-Generalized-Linear-Models/m-p/2123#M2123</guid>
      <dc:creator />
      <dc:date>2010-07-14T11:08:05Z</dc:date>
    </item>
    <item>
      <title>Re: Overdispersion tests and Generalized Linear Models</title>
      <link>https://community.jmp.com/t5/Discussions/Overdispersion-tests-and-Generalized-Linear-Models/m-p/2124#M2124</link>
      <description>Hi:&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;If one checks the Overdispersion test box, the model fit "controls" for overdispersion in binomial and Poisson models by estimating it (the degree of Overdispersion) post-model fit via the Pearson Chi-sq/degrees of freedom.  &lt;BR /&gt;&lt;BR /&gt;The JMP documentation is a bit sparse on this topic - see the SAS 9.2 on-line docs for Proc GENMOD for a much better discussion (links in the example below).&lt;BR /&gt;&lt;BR /&gt;If you are so blessed to have access to SAS as well as JMP the example script below runs the JMP Fit Model Platform with GLM personality and provides SAS Proc GENMOD code to match.&lt;BR /&gt;&lt;BR /&gt;Best regards,&lt;BR /&gt;-Matt&lt;BR /&gt;&lt;BR /&gt;</description>
      <pubDate>Wed, 14 Jul 2010 20:52:42 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Overdispersion-tests-and-Generalized-Linear-Models/m-p/2124#M2124</guid>
      <dc:creator>mattf</dc:creator>
      <dc:date>2010-07-14T20:52:42Z</dc:date>
    </item>
    <item>
      <title>Re: Overdispersion tests and Generalized Linear Models</title>
      <link>https://community.jmp.com/t5/Discussions/Overdispersion-tests-and-Generalized-Linear-Models/m-p/2125#M2125</link>
      <description>Thanks Matt. That's a huge help.&lt;BR /&gt;&lt;BR /&gt;SC.</description>
      <pubDate>Thu, 15 Jul 2010 09:12:17 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Overdispersion-tests-and-Generalized-Linear-Models/m-p/2125#M2125</guid>
      <dc:creator />
      <dc:date>2010-07-15T09:12:17Z</dc:date>
    </item>
  </channel>
</rss>

