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    <title>topic Re: Multinomial conditional logistic regression in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Multinomial-conditional-logistic-regression/m-p/316086#M16653</link>
    <description>&lt;P&gt;The conditional model isn't possible, but you can model clustered, multinomial data using PROC GEE or using PROC SURVEYLOGISTIC with a CLUSTER statement. &amp;nbsp;Both allow you to fit the model without having to estimate cluster-specific parameters.&lt;/P&gt;</description>
    <pubDate>Thu, 01 Dec 2016 21:58:35 GMT</pubDate>
    <dc:creator>StatDave</dc:creator>
    <dc:date>2016-12-01T21:58:35Z</dc:date>
    <item>
      <title>Multinomial conditional logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Multinomial-conditional-logistic-regression/m-p/315713#M16639</link>
      <description>&lt;P&gt;I am conducting a matched case control study with 1:m matching with a multinomial outcome. I know I can conduct conditional logitic regression in proc logistic with the strata statement and I can conduct a multinomal regression with the link=glogit statement. However, they seem to not be compatible with each other in proc logistic. Is there a way to do this analysis in SAS? Any help would be greatly appreciated.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 30 Nov 2016 22:19:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Multinomial-conditional-logistic-regression/m-p/315713#M16639</guid>
      <dc:creator>rfarmenta</dc:creator>
      <dc:date>2016-11-30T22:19:12Z</dc:date>
    </item>
    <item>
      <title>Re: Multinomial conditional logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Multinomial-conditional-logistic-regression/m-p/316086#M16653</link>
      <description>&lt;P&gt;The conditional model isn't possible, but you can model clustered, multinomial data using PROC GEE or using PROC SURVEYLOGISTIC with a CLUSTER statement. &amp;nbsp;Both allow you to fit the model without having to estimate cluster-specific parameters.&lt;/P&gt;</description>
      <pubDate>Thu, 01 Dec 2016 21:58:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Multinomial-conditional-logistic-regression/m-p/316086#M16653</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2016-12-01T21:58:35Z</dc:date>
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