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    <title>topic Surveylogistic Question in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/Surveylogistic-Question/m-p/127745#M34931</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi everyone-&lt;SPAN style="font-size: 10pt; line-height: 1.5em;"&gt;I have two different logistic models, call them Model A and Model B.&amp;nbsp; They are exactly the same, except Model B has some additional interactions added as predictors.&amp;nbsp; I would like to determine whether the additional predictors in Model B are significant as a whole.&amp;nbsp; Is there a way to do this in SAS?&lt;/SPAN&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 05 Mar 2013 17:50:13 GMT</pubDate>
    <dc:creator>alanb4173</dc:creator>
    <dc:date>2013-03-05T17:50:13Z</dc:date>
    <item>
      <title>Surveylogistic Question</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Surveylogistic-Question/m-p/127745#M34931</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi everyone-&lt;SPAN style="font-size: 10pt; line-height: 1.5em;"&gt;I have two different logistic models, call them Model A and Model B.&amp;nbsp; They are exactly the same, except Model B has some additional interactions added as predictors.&amp;nbsp; I would like to determine whether the additional predictors in Model B are significant as a whole.&amp;nbsp; Is there a way to do this in SAS?&lt;/SPAN&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 05 Mar 2013 17:50:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Surveylogistic-Question/m-p/127745#M34931</guid>
      <dc:creator>alanb4173</dc:creator>
      <dc:date>2013-03-05T17:50:13Z</dc:date>
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    <item>
      <title>Re: Surveylogistic Question</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Surveylogistic-Question/m-p/127746#M34932</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The best way to test as a whole would be to do a likelihood ratio test.&amp;nbsp; Since Model A is completely nested in Model B, the difference in the -2 log likelihoods should be asymptotically distributed as chi-squared with df=number of additional parameters.&amp;nbsp; ODS OUTPUT is your friend for getting the likelihoods into datasets where you can manipulate the values and do the calculations.&amp;nbsp; Oh, and I forgot this, everything between Model A and B has to really, really be exactly the same--no changes in PSUs or sampling weights.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 05 Mar 2013 20:51:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Surveylogistic-Question/m-p/127746#M34932</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2013-03-05T20:51:19Z</dc:date>
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