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    <title>topic Re: Exac GEE logistic regression in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Exac-GEE-logistic-regression/m-p/813920#M40142</link>
    <description>&lt;P&gt;Dear Dave,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;many thanks.&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Iuri&lt;/P&gt;</description>
    <pubDate>Tue, 17 May 2022 19:15:38 GMT</pubDate>
    <dc:creator>iuri_leite</dc:creator>
    <dc:date>2022-05-17T19:15:38Z</dc:date>
    <item>
      <title>Exac GEE logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Exac-GEE-logistic-regression/m-p/813458#M40111</link>
      <description>&lt;P&gt;Hi All,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;We are carrying out a GEE logistic analysis to see if there is difference between the two categories of a dummy variable. However, when the dummy variable assumes the value one the response variable assumes the value zero. So, we have a complete separation. So, I would like to know if there is a possibility of doing an exact test when running a GEE logistic regression and it is a solution to my problem. Thank you in advance. Regards&lt;/P&gt;</description>
      <pubDate>Mon, 16 May 2022 13:42:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Exac-GEE-logistic-regression/m-p/813458#M40111</guid>
      <dc:creator>iuri_leite</dc:creator>
      <dc:date>2022-05-16T13:42:11Z</dc:date>
    </item>
    <item>
      <title>Re: Exac GEE logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Exac-GEE-logistic-regression/m-p/813480#M40115</link>
      <description>&lt;P&gt;Assuming that, for each subject, you just have a binary predictor and a binary response observed at each time or occasion, then you might want to consider an conditional logistic approach or a non-model-based approach using CMH statistics in PROC FREQ. For example, for the CMH approach:&lt;/P&gt;
&lt;P&gt;proc freq; tables subject*predictor*response / cmh noprint; run;&lt;/P&gt;
&lt;P&gt;&lt;A href="http://support.sas.com/kb/32711" target="_self"&gt;This note&lt;/A&gt; discusses and illustrates both approaches which include exact test options.&lt;/P&gt;</description>
      <pubDate>Mon, 16 May 2022 15:12:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Exac-GEE-logistic-regression/m-p/813480#M40115</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2022-05-16T15:12:51Z</dc:date>
    </item>
    <item>
      <title>Re: Exac GEE logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Exac-GEE-logistic-regression/m-p/813920#M40142</link>
      <description>&lt;P&gt;Dear Dave,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;many thanks.&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Iuri&lt;/P&gt;</description>
      <pubDate>Tue, 17 May 2022 19:15:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Exac-GEE-logistic-regression/m-p/813920#M40142</guid>
      <dc:creator>iuri_leite</dc:creator>
      <dc:date>2022-05-17T19:15:38Z</dc:date>
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