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    <title>topic Re: Logistic regression in a repeated measure in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression-in-a-repeated-measure/m-p/947153#M47342</link>
    <description>&lt;P&gt;Whether you use a mixed model with GLIMMIX or a Generalized Estimating Equations model with PROC GEE, you can get odds ratio estimates for your categorical (in&amp;nbsp; CLASS statement) by specifying them in an LSMEANS statement with the DIFF and ODDSRATIO options. If you specifically want to estimate relative risks, then see the available methods discussed in &lt;A href="http://support.sas.com/kb/23003" target="_self"&gt;this note&lt;/A&gt;.&lt;/P&gt;</description>
    <pubDate>Fri, 11 Oct 2024 15:07:43 GMT</pubDate>
    <dc:creator>StatDave</dc:creator>
    <dc:date>2024-10-11T15:07:43Z</dc:date>
    <item>
      <title>Logistic regression in a repeated measure</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression-in-a-repeated-measure/m-p/947141#M47338</link>
      <description>&lt;P&gt;Hi all&lt;/P&gt;&lt;P&gt;I have a case-control design with binary response repeated in 3 moments. I would like to get some reference about how analyse the main effects as well as obtain OR or RR. I guess in this case Rr is more appropriate due to longitudinal aspect of the design.&amp;nbsp;&lt;/P&gt;&lt;P&gt;I´m using glimmix but I´m not sure if this is effective to get all information an how to interpret the results.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks in advance for any help&lt;/P&gt;&lt;P&gt;José Eduardo&lt;/P&gt;</description>
      <pubDate>Fri, 11 Oct 2024 14:39:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression-in-a-repeated-measure/m-p/947141#M47338</guid>
      <dc:creator>josecorrente</dc:creator>
      <dc:date>2024-10-11T14:39:11Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic regression in a repeated measure</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression-in-a-repeated-measure/m-p/947147#M47341</link>
      <description>&lt;P&gt;&lt;A href="https://communities.sas.com/t5/SAS-Programming/Logistic-regression-when-there-are-more-than-one-observation-for/td-p/620077" target="_blank"&gt;https://communities.sas.com/t5/SAS-Programming/Logistic-regression-when-there-are-more-than-one-observation-for/td-p/620077&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 11 Oct 2024 14:52:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression-in-a-repeated-measure/m-p/947147#M47341</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2024-10-11T14:52:05Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic regression in a repeated measure</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression-in-a-repeated-measure/m-p/947153#M47342</link>
      <description>&lt;P&gt;Whether you use a mixed model with GLIMMIX or a Generalized Estimating Equations model with PROC GEE, you can get odds ratio estimates for your categorical (in&amp;nbsp; CLASS statement) by specifying them in an LSMEANS statement with the DIFF and ODDSRATIO options. If you specifically want to estimate relative risks, then see the available methods discussed in &lt;A href="http://support.sas.com/kb/23003" target="_self"&gt;this note&lt;/A&gt;.&lt;/P&gt;</description>
      <pubDate>Fri, 11 Oct 2024 15:07:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression-in-a-repeated-measure/m-p/947153#M47342</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2024-10-11T15:07:43Z</dc:date>
    </item>
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