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    <title>topic PROC MIXED and effect size in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-MIXED-and-effect-size/m-p/534117#M26896</link>
    <description>Dear all, I am using PROC MIXED for a simple design with one CLASS variable with two levels, and a random factor. Browsing the postings I saw a discussion about effect size in PROC MIXED dating of 2016, so I wonder whether there has been any progress with PROC MIXED and effect size can be automatically generated by PROC MIXED in the same way in which PROC GLM now does. proc mixed data = XX ; class cond randomF; model DV= cond ; random randomF ; lsmeans cond/tdiff cl pdiff; Thank you in advance. Emanuele</description>
    <pubDate>Sat, 09 Feb 2019 01:43:24 GMT</pubDate>
    <dc:creator>emaneman</dc:creator>
    <dc:date>2019-02-09T01:43:24Z</dc:date>
    <item>
      <title>PROC MIXED and effect size</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-MIXED-and-effect-size/m-p/534117#M26896</link>
      <description>Dear all, I am using PROC MIXED for a simple design with one CLASS variable with two levels, and a random factor. Browsing the postings I saw a discussion about effect size in PROC MIXED dating of 2016, so I wonder whether there has been any progress with PROC MIXED and effect size can be automatically generated by PROC MIXED in the same way in which PROC GLM now does. proc mixed data = XX ; class cond randomF; model DV= cond ; random randomF ; lsmeans cond/tdiff cl pdiff; Thank you in advance. Emanuele</description>
      <pubDate>Sat, 09 Feb 2019 01:43:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PROC-MIXED-and-effect-size/m-p/534117#M26896</guid>
      <dc:creator>emaneman</dc:creator>
      <dc:date>2019-02-09T01:43:24Z</dc:date>
    </item>
    <item>
      <title>Re: PROC MIXED and effect size</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-MIXED-and-effect-size/m-p/534362#M26902</link>
      <description>&lt;P&gt;"Effect size" (however you choose to define it) in a mixed model is of course more complicated than in a not-mixed model. You might find this thread useful:&amp;nbsp;&lt;A href="https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-effect-size-Does-a-solution-exist/td-p/313660" target="_self"&gt;https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-effect-size-Does-a-solution-exist/td-p/313660&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 11 Feb 2019 03:50:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PROC-MIXED-and-effect-size/m-p/534362#M26902</guid>
      <dc:creator>sld</dc:creator>
      <dc:date>2019-02-11T03:50:47Z</dc:date>
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