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    <title>topic Re: Cross Validation possible with Proc Mixed? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Cross-Validation-possible-with-Proc-Mixed/m-p/676891#M32444</link>
    <description>THanks. I'll have to dig into these -I'm a new SAS user so not familiar with macros.</description>
    <pubDate>Fri, 14 Aug 2020 21:09:12 GMT</pubDate>
    <dc:creator>Daisy2</dc:creator>
    <dc:date>2020-08-14T21:09:12Z</dc:date>
    <item>
      <title>Cross Validation possible with Proc Mixed?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Cross-Validation-possible-with-Proc-Mixed/m-p/675955#M32404</link>
      <description>&lt;P&gt;I'm using Proc Mixed to build a model (see code below) and I would like to split the data into training and validation so I can see how well the model works on predicting data it has not seen.&amp;nbsp; I found that proc glm allows data to be split into different fractions, but I wonder how to use both sets of code?&amp;nbsp; Does proc glm select just split the data and then I run proc mixed on the different fractions separately?&amp;nbsp; &amp;nbsp;Thanks for the help.&lt;/P&gt;&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc mixed data=ttnc_subsetsort PLOTS=RESIDUALPANEL(UNPACK) RATIO;
  class hyb ntrt pd loc pass rep;
  model tncV12log =hyb ntrt pd ntrt*hyb pd*hyb ntrt*pd / residual;
  random loc rep(loc) loc*ntrt loc*hyb ;
  lsmeans hyb ntrt pd hyb*ntrt / pdiff=all cl adjust=tukey;
  title1 'Fit TNC V12 Model with Factors';
  run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Tue, 11 Aug 2020 16:37:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Cross-Validation-possible-with-Proc-Mixed/m-p/675955#M32404</guid>
      <dc:creator>Daisy2</dc:creator>
      <dc:date>2020-08-11T16:37:00Z</dc:date>
    </item>
    <item>
      <title>Re: Cross Validation possible with Proc Mixed?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Cross-Validation-possible-with-Proc-Mixed/m-p/675959#M32405</link>
      <description>&lt;P&gt;This will give you a great start on doing resampling (from &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS&lt;/a&gt; )&lt;/P&gt;
&lt;P&gt;&lt;A href="https://blogs.sas.com/content/iml/tag/bootstrap-and-resampling" target="_blank" rel="noopener"&gt;https://blogs.sas.com/content/iml/tag/bootstrap-and-resampling&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;and señor&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/18408"&gt;@Ksharp&lt;/a&gt; wrote this which is for Logistic regression but ought to work for PROC MIXED as well with minor modifications.&lt;/P&gt;
&lt;P&gt;&lt;A href="https://communities.sas.com/t5/SAS-Programming/10-FOLD-CROSS-VALIDATION-amp-BOOTSTRAPPING/m-p/448485#M112822" target="_blank" rel="noopener"&gt;https://communities.sas.com/t5/SAS-Programming/10-FOLD-CROSS-VALIDATION-amp-BOOTSTRAPPING/m-p/448485#M112822&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 11 Aug 2020 16:58:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Cross-Validation-possible-with-Proc-Mixed/m-p/675959#M32405</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-08-11T16:58:44Z</dc:date>
    </item>
    <item>
      <title>Re: Cross Validation possible with Proc Mixed?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Cross-Validation-possible-with-Proc-Mixed/m-p/676891#M32444</link>
      <description>THanks. I'll have to dig into these -I'm a new SAS user so not familiar with macros.</description>
      <pubDate>Fri, 14 Aug 2020 21:09:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Cross-Validation-possible-with-Proc-Mixed/m-p/676891#M32444</guid>
      <dc:creator>Daisy2</dc:creator>
      <dc:date>2020-08-14T21:09:12Z</dc:date>
    </item>
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