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    <title>topic Re: SAS equivalent of R orm in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-equivalent-of-R-orm/m-p/837830#M41500</link>
    <description>calling &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13633"&gt;@StatDave&lt;/a&gt; &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS&lt;/a&gt;</description>
    <pubDate>Tue, 11 Oct 2022 12:24:48 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2022-10-11T12:24:48Z</dc:date>
    <item>
      <title>SAS equivalent of R orm</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-equivalent-of-R-orm/m-p/837717#M41492</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I am wondering if there is SAS equivalent to the orm package for R.&amp;nbsp; orm is the ordinal regression models package for semi-parametric models of continuous outcomes, as opposed to OLS or a binary/multinomial outcome.&amp;nbsp; The details are described in these course notes, Section 11.4 Ordinal Regression Models for Continuous Y.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://hbiostat.org/doc/rms.pdf" target="_self"&gt;https://hbiostat.org/doc/rms.pdf&lt;/A&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Or would I need to code these models with NLMixed?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks!&lt;/P&gt;
&lt;P&gt;Michael&lt;/P&gt;</description>
      <pubDate>Mon, 10 Oct 2022 18:11:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-equivalent-of-R-orm/m-p/837717#M41492</guid>
      <dc:creator>Kastchei</dc:creator>
      <dc:date>2022-10-10T18:11:56Z</dc:date>
    </item>
    <item>
      <title>Re: SAS equivalent of R orm</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-equivalent-of-R-orm/m-p/837725#M41493</link>
      <description>&lt;P&gt;In &lt;A href="https://support.sas.com/kb/30/333.html" target="_self"&gt;this document&lt;/A&gt;, it says:&lt;/P&gt;
&lt;BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For multinomial responses: use GEE or GENMOD for an ordinal response, use GEE for a nominal response. Also, SAS/STAT PROC GLIMMIX with the EMPIRICAL option and RANDOM _RESIDUAL_ statement with subject variable in the SUBJECT= option. &lt;/P&gt;
&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Please see if that is what you are looking for.&lt;/P&gt;</description>
      <pubDate>Mon, 10 Oct 2022 19:21:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-equivalent-of-R-orm/m-p/837725#M41493</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2022-10-10T19:21:50Z</dc:date>
    </item>
    <item>
      <title>Re: SAS equivalent of R orm</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/SAS-equivalent-of-R-orm/m-p/837830#M41500</link>
      <description>calling &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13633"&gt;@StatDave&lt;/a&gt; &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS&lt;/a&gt;</description>
      <pubDate>Tue, 11 Oct 2022 12:24:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/SAS-equivalent-of-R-orm/m-p/837830#M41500</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2022-10-11T12:24:48Z</dc:date>
    </item>
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