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    <title>topic Re: PROC GLIMMIX - lsmeans in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX-lsmeans/m-p/605001#M29389</link>
    <description>&lt;P&gt;Paige is correct. I will add that unadjusted CIs are "wrong" in the sense that the true confidence level can be much less than the nominal level. For example, an&amp;nbsp;unadjusted "95% CI" might only cover the true population mean in 87% of random samples.&lt;/P&gt;</description>
    <pubDate>Mon, 18 Nov 2019 13:56:15 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2019-11-18T13:56:15Z</dc:date>
    <item>
      <title>PROC GLIMMIX - lsmeans</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX-lsmeans/m-p/604336#M29375</link>
      <description>&lt;P&gt;Hi, all.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;If I don't specify the adjust in the lsmeans, what will be the standard?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;PROC GLIMMIX data = SOY plots = residualpanel;&lt;BR /&gt;class TRT;&lt;BR /&gt;model KGHA = TRT / ddfm = satterth;&lt;BR /&gt;lsmeans TRT / lines adjust = Tukey;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;PROC GLIMMIX data = SOY plots = residualpanel;&lt;BR /&gt;class TRT;&lt;BR /&gt;model KGHA = TRT / ddfm = satterth;&lt;BR /&gt;lsmeans TRT / lines;&lt;BR /&gt;run;&lt;/P&gt;</description>
      <pubDate>Thu, 14 Nov 2019 23:20:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX-lsmeans/m-p/604336#M29375</guid>
      <dc:creator>rmn0008</dc:creator>
      <dc:date>2019-11-14T23:20:11Z</dc:date>
    </item>
    <item>
      <title>Re: PROC GLIMMIX - lsmeans</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX-lsmeans/m-p/604345#M29376</link>
      <description>&lt;P&gt;I believe that with ADJUST= you get the multiple comparison test that is specified. If you leave ADJUST= out, the comparisons are not based upon multiple comparisons, so it would use the estimate of error produced by the model for each comparison (which is not adjusted because of multiple comparisons).&lt;/P&gt;</description>
      <pubDate>Fri, 15 Nov 2019 11:46:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX-lsmeans/m-p/604345#M29376</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2019-11-15T11:46:07Z</dc:date>
    </item>
    <item>
      <title>Re: PROC GLIMMIX - lsmeans</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX-lsmeans/m-p/605001#M29389</link>
      <description>&lt;P&gt;Paige is correct. I will add that unadjusted CIs are "wrong" in the sense that the true confidence level can be much less than the nominal level. For example, an&amp;nbsp;unadjusted "95% CI" might only cover the true population mean in 87% of random samples.&lt;/P&gt;</description>
      <pubDate>Mon, 18 Nov 2019 13:56:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX-lsmeans/m-p/605001#M29389</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2019-11-18T13:56:15Z</dc:date>
    </item>
    <item>
      <title>Re: PROC GLIMMIX - lsmeans</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX-lsmeans/m-p/605003#M29390</link>
      <description>&lt;P&gt;Okay, thank you very much!&lt;/P&gt;</description>
      <pubDate>Mon, 18 Nov 2019 13:59:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLIMMIX-lsmeans/m-p/605003#M29390</guid>
      <dc:creator>rmn0008</dc:creator>
      <dc:date>2019-11-18T13:59:35Z</dc:date>
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