<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Mianalyze GLM Analysis in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Mianalyze-GLM-Analysis/m-p/169296#M8824</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Mmm.&amp;nbsp; Haven't seen any macros (which is what it would take) on this one.&amp;nbsp; The key here is that the effect size estimates will be different for each imputation, and I don't believe that eta squared or omega squared are "additive" in the sense that you could take the average of the imputational values as applying to the results from MIANALYZE.&amp;nbsp; If I were searching for this on Uncle Google's website, I might use key terms like "model averaging effect size SAS" to see what might pop up.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 16 Feb 2015 16:01:52 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2015-02-16T16:01:52Z</dc:date>
    <item>
      <title>Mianalyze GLM Analysis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Mianalyze-GLM-Analysis/m-p/169295#M8823</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;I would like to know whether there is a syntax/command for combining GLM effect sizes using MIANALYZE. If it is, could you let me know where I could get it? Thank you so much.&amp;nbsp; &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sat, 14 Feb 2015 16:02:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Mianalyze-GLM-Analysis/m-p/169295#M8823</guid>
      <dc:creator>hjeon</dc:creator>
      <dc:date>2015-02-14T16:02:15Z</dc:date>
    </item>
    <item>
      <title>Re: Mianalyze GLM Analysis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Mianalyze-GLM-Analysis/m-p/169296#M8824</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Mmm.&amp;nbsp; Haven't seen any macros (which is what it would take) on this one.&amp;nbsp; The key here is that the effect size estimates will be different for each imputation, and I don't believe that eta squared or omega squared are "additive" in the sense that you could take the average of the imputational values as applying to the results from MIANALYZE.&amp;nbsp; If I were searching for this on Uncle Google's website, I might use key terms like "model averaging effect size SAS" to see what might pop up.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 16 Feb 2015 16:01:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Mianalyze-GLM-Analysis/m-p/169296#M8824</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2015-02-16T16:01:52Z</dc:date>
    </item>
    <item>
      <title>Re: Mianalyze GLM Analysis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Mianalyze-GLM-Analysis/m-p/169297#M8825</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Combining Type-III Analyses from Multiple Imputations:&lt;/P&gt;&lt;P&gt;&lt;A href="http://support.sas.com/resources/papers/proceedings14/1543-2014.pdf" title="http://support.sas.com/resources/papers/proceedings14/1543-2014.pdf"&gt;http://support.sas.com/resources/papers/proceedings14/1543-2014.pdf&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 16 Feb 2015 16:13:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Mianalyze-GLM-Analysis/m-p/169297#M8825</guid>
      <dc:creator>gergely_batho</dc:creator>
      <dc:date>2015-02-16T16:13:33Z</dc:date>
    </item>
    <item>
      <title>Re: Mianalyze GLM Analysis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Mianalyze-GLM-Analysis/m-p/169298#M8826</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;That macro is quite good for getting the MIANALYZE results, but as far as effect sizes, there is still something missing.&amp;nbsp; However, since it does calculate the mean squares, one could get the LSMEANS, and calculate effect sizes in a data step.&amp;nbsp; Cohen's d would be simple, eta squared and omega squared somewhat more difficult.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;And, as always, I have a difficult time moving from MIXED to MIANALYZE with things like repeated measures (getting the matrix to be of the correct form).&amp;nbsp; I generally appeal to the fact that maximum likelihood estimates under missing at random are optimal, and that imputation really adds little in that situation.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 16 Feb 2015 16:25:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Mianalyze-GLM-Analysis/m-p/169298#M8826</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2015-02-16T16:25:24Z</dc:date>
    </item>
  </channel>
</rss>

