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    <title>topic multinomial logistic regression in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/multinomial-logistic-regression/m-p/702221#M33909</link>
    <description>&lt;P&gt;I am doing a multinomial logistic regression on outcome variable &lt;EM&gt;d&lt;/EM&gt;. This variable has three levels: 0, 1 and 2. In the code below, is the effect of predictor &lt;EM&gt;a&lt;/EM&gt; in &lt;EM&gt;d&lt;/EM&gt;-levels 1 and 2 each compared to effect of &lt;EM&gt;a&lt;/EM&gt; in &lt;EM&gt;d&lt;/EM&gt;-level 0?&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc logistic data=test;&lt;BR /&gt;class d (ref='0') / param= ref;&lt;BR /&gt;model d = a / link=glogit clodds=pl;&lt;/P&gt;
&lt;P&gt;run;&lt;/P&gt;
&lt;P&gt;Thank you!&lt;/P&gt;</description>
    <pubDate>Sat, 28 Nov 2020 22:18:09 GMT</pubDate>
    <dc:creator>pink_poodle</dc:creator>
    <dc:date>2020-11-28T22:18:09Z</dc:date>
    <item>
      <title>multinomial logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/multinomial-logistic-regression/m-p/702221#M33909</link>
      <description>&lt;P&gt;I am doing a multinomial logistic regression on outcome variable &lt;EM&gt;d&lt;/EM&gt;. This variable has three levels: 0, 1 and 2. In the code below, is the effect of predictor &lt;EM&gt;a&lt;/EM&gt; in &lt;EM&gt;d&lt;/EM&gt;-levels 1 and 2 each compared to effect of &lt;EM&gt;a&lt;/EM&gt; in &lt;EM&gt;d&lt;/EM&gt;-level 0?&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc logistic data=test;&lt;BR /&gt;class d (ref='0') / param= ref;&lt;BR /&gt;model d = a / link=glogit clodds=pl;&lt;/P&gt;
&lt;P&gt;run;&lt;/P&gt;
&lt;P&gt;Thank you!&lt;/P&gt;</description>
      <pubDate>Sat, 28 Nov 2020 22:18:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/multinomial-logistic-regression/m-p/702221#M33909</guid>
      <dc:creator>pink_poodle</dc:creator>
      <dc:date>2020-11-28T22:18:09Z</dc:date>
    </item>
    <item>
      <title>Re: multinomial logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/multinomial-logistic-regression/m-p/702224#M33911</link>
      <description>&lt;P&gt;Show us the output, by including in your reply a screen capture using the camera icon. Do not attach a file.&lt;/P&gt;</description>
      <pubDate>Sat, 28 Nov 2020 22:29:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/multinomial-logistic-regression/m-p/702224#M33911</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-11-28T22:29:15Z</dc:date>
    </item>
    <item>
      <title>Re: multinomial logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/multinomial-logistic-regression/m-p/702225#M33912</link>
      <description>Just as I was going to copy the output, SAS answered my question in the log:&lt;BR /&gt;NOTE: PROC LOGISTIC is fitting the generalized logit model. The logits modeled contrast each response category against the reference category (d=0).</description>
      <pubDate>Sat, 28 Nov 2020 22:51:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/multinomial-logistic-regression/m-p/702225#M33912</guid>
      <dc:creator>pink_poodle</dc:creator>
      <dc:date>2020-11-28T22:51:15Z</dc:date>
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