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    <title>topic Re: P-values from Firth’s Penalized Likelihood in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/P-values-from-Firth-s-Penalized-Likelihood/m-p/100887#M5256</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Isn't it included in the standard output with the firth option?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;proc logistic data=have;&lt;/P&gt;&lt;P&gt;model y=x1 x2 x3/firth;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Sat, 15 Dec 2012 19:41:43 GMT</pubDate>
    <dc:creator>Reeza</dc:creator>
    <dc:date>2012-12-15T19:41:43Z</dc:date>
    <item>
      <title>P-values from Firth’s Penalized Likelihood</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/P-values-from-Firth-s-Penalized-Likelihood/m-p/100886#M5255</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Dear all SAS users,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I'm wondering if there's a way to get the p-values for the parameter estimates and odds ratio estimates and as well as the profile-likelihood confidence intervals produced from proc logistic with Firth's estimation?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Any input is greatly appreciated. Thanks in advance. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sat, 15 Dec 2012 10:54:37 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/P-values-from-Firth-s-Penalized-Likelihood/m-p/100886#M5255</guid>
      <dc:creator>Miracle</dc:creator>
      <dc:date>2012-12-15T10:54:37Z</dc:date>
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    <item>
      <title>Re: P-values from Firth’s Penalized Likelihood</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/P-values-from-Firth-s-Penalized-Likelihood/m-p/100887#M5256</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Isn't it included in the standard output with the firth option?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;proc logistic data=have;&lt;/P&gt;&lt;P&gt;model y=x1 x2 x3/firth;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sat, 15 Dec 2012 19:41:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/P-values-from-Firth-s-Penalized-Likelihood/m-p/100887#M5256</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2012-12-15T19:41:43Z</dc:date>
    </item>
    <item>
      <title>Re: P-values from Firth’s Penalized Likelihood</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/P-values-from-Firth-s-Penalized-Likelihood/m-p/100888#M5257</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Reeza. Thanks for your reply.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Is "Pr &amp;gt; ChiSq" under "Analysis of Maximum Likelihood Estimates" the one?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I was reading Logistic Regression Using SAS: Theory and Application, Second Edition by D Allison Paul. On page 58 it says "we should always specify CLPARM=PL option when using Firth method to deal with quasi-complete separation due to inaccurate conventional Wald confidence interval in such situations. Wald p-values can also be inaccurate for the problematic parameters, so inference should be focused instead on the confidence intervals." On page 59, it says "You should never trust Wald chi-squares for parameters with non-existent maximum likelihood estimates". &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;So I'm wondering if I can report the p-values under "Analysis of Maximum Likelihood Estimates".&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks in advance.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sun, 16 Dec 2012 06:05:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/P-values-from-Firth-s-Penalized-Likelihood/m-p/100888#M5257</guid>
      <dc:creator>Miracle</dc:creator>
      <dc:date>2012-12-16T06:05:40Z</dc:date>
    </item>
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