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    <title>topic Logistic Regression and Interactions in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-and-Interactions/m-p/14836#M301</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt; Not sure what your question is:&lt;/P&gt;&lt;P&gt;- Were you not expecting any interaction but there turned out to be?&amp;nbsp; (Why surprised?)&lt;/P&gt;&lt;P&gt;- Are you wanting to understand the strength of the interaction in relation to other factors?&amp;nbsp; (Start with looking at standardized estimates)&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;In analytics, finding the unexpected sometimes is a good thing.&amp;nbsp; It's a discovery of new knowledge.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 22 Sep 2011 20:47:26 GMT</pubDate>
    <dc:creator>DLing</dc:creator>
    <dc:date>2011-09-22T20:47:26Z</dc:date>
    <item>
      <title>Logistic Regression and Interactions</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-and-Interactions/m-p/14835#M300</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;So I'm fairly new to both logistic regression and SAS, so I was a bit stumped when ran a proc logistic and found a significant 2-way interation.&amp;nbsp; The variables in question are "age" (continuous) x "treatment" (dichotomous).&amp;nbsp; Anyone have any suggestions as to what my next step would be in SAS in order to evaluate this interaction?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 22 Sep 2011 20:39:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-and-Interactions/m-p/14835#M300</guid>
      <dc:creator>lefty2108</dc:creator>
      <dc:date>2011-09-22T20:39:38Z</dc:date>
    </item>
    <item>
      <title>Logistic Regression and Interactions</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-and-Interactions/m-p/14836#M301</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt; Not sure what your question is:&lt;/P&gt;&lt;P&gt;- Were you not expecting any interaction but there turned out to be?&amp;nbsp; (Why surprised?)&lt;/P&gt;&lt;P&gt;- Are you wanting to understand the strength of the interaction in relation to other factors?&amp;nbsp; (Start with looking at standardized estimates)&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;In analytics, finding the unexpected sometimes is a good thing.&amp;nbsp; It's a discovery of new knowledge.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 22 Sep 2011 20:47:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-and-Interactions/m-p/14836#M301</guid>
      <dc:creator>DLing</dc:creator>
      <dc:date>2011-09-22T20:47:26Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic Regression and Interactions</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-and-Interactions/m-p/14837#M302</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Interactions in this case were entirely possible.&amp;nbsp; My question was more about what post-hoc analyses I might employ using SAS in order to understand the nature of this particular interaction.&amp;nbsp; Thanks for the replies btw.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 22 Sep 2011 20:59:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-and-Interactions/m-p/14837#M302</guid>
      <dc:creator>lefty2108</dc:creator>
      <dc:date>2011-09-22T20:59:33Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic Regression and Interactions</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-and-Interactions/m-p/14838#M303</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Have you looked at the odds ratio with the oddsratio statement?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 22 Sep 2011 22:12:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-Regression-and-Interactions/m-p/14838#M303</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2011-09-22T22:12:12Z</dc:date>
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