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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/720924#M34933</link>
    <description>&lt;DIV class="forum-subj-action"&gt;
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&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;I want to run a&amp;nbsp;multinomial logistic regression&amp;nbsp;&lt;SPAN&gt;for sample survey data. &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;1. should I use proc surveylogistic statement for the&amp;nbsp;multinomial logistic regression? what is the difference between binary logistic regression and&amp;nbsp;multinomial logistic regression when it comes to the code.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;2. How to do the diagnostics? Should I using Pearson residuals?&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Thank you!&lt;/SPAN&gt;&lt;/P&gt;
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    <pubDate>Mon, 22 Feb 2021 15:14:57 GMT</pubDate>
    <dc:creator>knighsson</dc:creator>
    <dc:date>2021-02-22T15:14:57Z</dc:date>
    <item>
      <title>multinomial logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/multinomial-logistic-regression/m-p/720924#M34933</link>
      <description>&lt;DIV class="forum-subj-action"&gt;
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&lt;DIV class="lia-message-body-content"&gt;
&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;I want to run a&amp;nbsp;multinomial logistic regression&amp;nbsp;&lt;SPAN&gt;for sample survey data. &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;1. should I use proc surveylogistic statement for the&amp;nbsp;multinomial logistic regression? what is the difference between binary logistic regression and&amp;nbsp;multinomial logistic regression when it comes to the code.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;2. How to do the diagnostics? Should I using Pearson residuals?&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Thank you!&lt;/SPAN&gt;&lt;/P&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;</description>
      <pubDate>Mon, 22 Feb 2021 15:14:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/multinomial-logistic-regression/m-p/720924#M34933</guid>
      <dc:creator>knighsson</dc:creator>
      <dc:date>2021-02-22T15:14:57Z</dc:date>
    </item>
    <item>
      <title>Re: multinomial logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/multinomial-logistic-regression/m-p/721262#M34937</link>
      <description>&lt;P&gt;Yes, if you have a multinomial response with complex survey data then you should use Proc SURVEYLOGISTIC.&amp;nbsp; If it is an ordinal response then you simply need the usual MODEL statement and it will fit a proportional odds model by default.&amp;nbsp; If you want to fit a generalized logit model then you will also need to place the LINK=GLOGIT on the MODEL statement as well.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P class="cs2654AE3A"&gt;&lt;SPAN class="cs94C2684B"&gt;Currently, the only available goodness-of-fit tests in PROC SURVEYLOGISTIC are found in the default output under the title "Testing Global Null Hypothesis: BETA=0". &amp;nbsp;This is a general limitation with logit models on complex survey data, in that very few measures to assess fit have been defined. You could compute raw residuals, but for a logit model these are not usually very helpful. For now, all that is available are the ones I mentioned along with the c-statistic. &amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs2654AE3A"&gt;&lt;SPAN class="cs94C2684B"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs2654AE3A"&gt;&lt;SPAN class="cs94C2684B"&gt;The Hosmer-Lemeshow test, for example, has been shown to be inappropriate in complex sample designs. This is discussed in "Testing Goodness-Of-Fit for Logistic Regression with Survey Data" by Graubard, Korn and Midthune.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs2654AE3A"&gt;&lt;SPAN class="cs94C2684B"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P class="cs2654AE3A"&gt;&lt;SPAN class="csEC63E734"&gt;Graubard, B.I., Korn, E.L., Midthune, D., 1997. Testing goodness-of-fit for logistic regression with survey data. In: Proceedings of the Section on Survey Research Methods.American Statistical Association,&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 23 Feb 2021 13:47:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/multinomial-logistic-regression/m-p/721262#M34937</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2021-02-23T13:47:00Z</dc:date>
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    <item>
      <title>Re: multinomial logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/multinomial-logistic-regression/m-p/721318#M34938</link>
      <description>Thank you so much!&lt;BR /&gt;&lt;BR /&gt;I found the diagnostic is difficult to code for me. I wonder is ROC curve helpful for diagnostic?&lt;BR /&gt;&lt;BR /&gt;Thank you! &lt;BR /&gt;</description>
      <pubDate>Tue, 23 Feb 2021 16:15:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/multinomial-logistic-regression/m-p/721318#M34938</guid>
      <dc:creator>knighsson</dc:creator>
      <dc:date>2021-02-23T16:15:25Z</dc:date>
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    <item>
      <title>Re: multinomial logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/multinomial-logistic-regression/m-p/721320#M34939</link>
      <description>OR does that mean when I run the proc surveylogist statement, I dont have to do diagnostic?</description>
      <pubDate>Tue, 23 Feb 2021 16:17:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/multinomial-logistic-regression/m-p/721320#M34939</guid>
      <dc:creator>knighsson</dc:creator>
      <dc:date>2021-02-23T16:17:06Z</dc:date>
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