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    <title>topic Penalized likelihood estimation in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Penalized-likelihood-estimation/m-p/96044#M4810</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi everyone.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I'd like know if SAS has an inbuilt command to do penalized likelihood estimation for a binary logistic regression taking into account the study design at the same time? something like the Firth's method in proc logistic? &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Your advise is greatly appreciated!! &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 11 Dec 2012 10:31:42 GMT</pubDate>
    <dc:creator>Miracle</dc:creator>
    <dc:date>2012-12-11T10:31:42Z</dc:date>
    <item>
      <title>Penalized likelihood estimation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Penalized-likelihood-estimation/m-p/96044#M4810</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi everyone.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I'd like know if SAS has an inbuilt command to do penalized likelihood estimation for a binary logistic regression taking into account the study design at the same time? something like the Firth's method in proc logistic? &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Your advise is greatly appreciated!! &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 11 Dec 2012 10:31:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Penalized-likelihood-estimation/m-p/96044#M4810</guid>
      <dc:creator>Miracle</dc:creator>
      <dc:date>2012-12-11T10:31:42Z</dc:date>
    </item>
    <item>
      <title>Re: Penalized likelihood estimation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Penalized-likelihood-estimation/m-p/96045#M4811</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;To answer your question, no.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;SAS software that accounts for the study design of complex sample surveys like the design-based PROC SURVEYLOGISTIC is not based on maximum likelihoood estimation.&amp;nbsp; Thus, Firth's method is inapplicable in this procedure.&amp;nbsp; However, some have attempted to mimic this design-based analysis of complex sample surveys using model-based methods like generalized linear mixed models in PROC GLIMMIX. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Since SAS code to replicate Firth's method is available at&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; &lt;A href="http://cemsiis.meduniwein.ac.at/kb/wf/software/statistische-software/fllogistf/"&gt;http://cemsiis.meduniwein.ac.at/kb/wf/software/statistische-software/fllogistf/&lt;/A&gt;,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;you may be able to adapt this code to a PROC GLIMMIX model for analyzing complex sample surveys.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 13 Dec 2012 14:46:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Penalized-likelihood-estimation/m-p/96045#M4811</guid>
      <dc:creator>1zmm</dc:creator>
      <dc:date>2012-12-13T14:46:56Z</dc:date>
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