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    <title>topic Re: Quasi-complete separation in PROC LOGISTIC, but I just care about significant variables. So.... in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Quasi-complete-separation-in-PROC-LOGISTIC-but-I-just-care-about/m-p/193520#M10304</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;It depends on where the separation is.&amp;nbsp; When there is quasi-complete separation, usually one variable will have very odd confidence intervals.&amp;nbsp; Those shouldn't be used. But the other ones can.&amp;nbsp; See this paper by &lt;A href="http://www2.sas.com/proceedings/forum2008/360-2008.pdf"&gt;Paul Allison&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 27 May 2015 10:47:13 GMT</pubDate>
    <dc:creator>plf515</dc:creator>
    <dc:date>2015-05-27T10:47:13Z</dc:date>
    <item>
      <title>Quasi-complete separation in PROC LOGISTIC, but I just care about significant variables. So....</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quasi-complete-separation-in-PROC-LOGISTIC-but-I-just-care-about/m-p/193519#M10303</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;So, do I have to worry about the "Quasi-Complete separation" message when running a PROC LOGISTIC, if I just care to know which variables are significant? I don't care about their estimates. Also, fyi, all my predictor variables are categorical and and are collapsed as much as it makes sense for them to be.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;&lt;P&gt;Divya&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 26 May 2015 20:04:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quasi-complete-separation-in-PROC-LOGISTIC-but-I-just-care-about/m-p/193519#M10303</guid>
      <dc:creator>TryingwithSAS</dc:creator>
      <dc:date>2015-05-26T20:04:18Z</dc:date>
    </item>
    <item>
      <title>Re: Quasi-complete separation in PROC LOGISTIC, but I just care about significant variables. So....</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quasi-complete-separation-in-PROC-LOGISTIC-but-I-just-care-about/m-p/193520#M10304</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;It depends on where the separation is.&amp;nbsp; When there is quasi-complete separation, usually one variable will have very odd confidence intervals.&amp;nbsp; Those shouldn't be used. But the other ones can.&amp;nbsp; See this paper by &lt;A href="http://www2.sas.com/proceedings/forum2008/360-2008.pdf"&gt;Paul Allison&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 27 May 2015 10:47:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quasi-complete-separation-in-PROC-LOGISTIC-but-I-just-care-about/m-p/193520#M10304</guid>
      <dc:creator>plf515</dc:creator>
      <dc:date>2015-05-27T10:47:13Z</dc:date>
    </item>
    <item>
      <title>Re: Quasi-complete separation in PROC LOGISTIC, but I just care about significant variables. So....</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quasi-complete-separation-in-PROC-LOGISTIC-but-I-just-care-about/m-p/193521#M10305</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thank you!!!!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 28 May 2015 13:21:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quasi-complete-separation-in-PROC-LOGISTIC-but-I-just-care-about/m-p/193521#M10305</guid>
      <dc:creator>TryingwithSAS</dc:creator>
      <dc:date>2015-05-28T13:21:00Z</dc:date>
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