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    <title>topic proc hpgenselect - multinomial logistic regression oddsratio and fitstatistics in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/proc-hpgenselect-multinomial-logistic-regression-oddsratio-and/m-p/426329#M22421</link>
    <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am new to hpgenselect procedure (used to logistic), however, I find it more efficient&amp;nbsp; for stepwise method,&lt;/P&gt;&lt;P&gt;but I can find how to output:&lt;/P&gt;&lt;P&gt;Oddsratio for all selected variable with it`s coefficients,&lt;/P&gt;&lt;P&gt;Pearson chi-square,&lt;/P&gt;&lt;P&gt;Cox- Snell residuals,&lt;/P&gt;&lt;P&gt;Nagelkerke residuals,&lt;/P&gt;&lt;P&gt;R-square and ajdusted R-square,&lt;/P&gt;&lt;P&gt;Effectplots.&lt;/P&gt;&lt;P&gt;All of this for multinomial model.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I would be gratefull if anyone could link some paper with example.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 10 Jan 2018 08:35:09 GMT</pubDate>
    <dc:creator>Matt3</dc:creator>
    <dc:date>2018-01-10T08:35:09Z</dc:date>
    <item>
      <title>proc hpgenselect - multinomial logistic regression oddsratio and fitstatistics</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-hpgenselect-multinomial-logistic-regression-oddsratio-and/m-p/426329#M22421</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am new to hpgenselect procedure (used to logistic), however, I find it more efficient&amp;nbsp; for stepwise method,&lt;/P&gt;&lt;P&gt;but I can find how to output:&lt;/P&gt;&lt;P&gt;Oddsratio for all selected variable with it`s coefficients,&lt;/P&gt;&lt;P&gt;Pearson chi-square,&lt;/P&gt;&lt;P&gt;Cox- Snell residuals,&lt;/P&gt;&lt;P&gt;Nagelkerke residuals,&lt;/P&gt;&lt;P&gt;R-square and ajdusted R-square,&lt;/P&gt;&lt;P&gt;Effectplots.&lt;/P&gt;&lt;P&gt;All of this for multinomial model.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I would be gratefull if anyone could link some paper with example.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 10 Jan 2018 08:35:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-hpgenselect-multinomial-logistic-regression-oddsratio-and/m-p/426329#M22421</guid>
      <dc:creator>Matt3</dc:creator>
      <dc:date>2018-01-10T08:35:09Z</dc:date>
    </item>
    <item>
      <title>Re: proc hpgenselect - multinomial logistic regression oddsratio and fitstatistics</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-hpgenselect-multinomial-logistic-regression-oddsratio-and/m-p/426940#M22425</link>
      <description>&lt;P&gt;HPGENSELECT isn't going to be helpful for all that. You'll have better luck with PROC LOGISTIC - see the ODDSRATIO and EFFECTPLOT statements, and the RSQUARE and SCALE=NONE options in the MODEL statement.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 11 Jan 2018 18:11:16 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-hpgenselect-multinomial-logistic-regression-oddsratio-and/m-p/426940#M22425</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2018-01-11T18:11:16Z</dc:date>
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