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    <title>topic Re: How to use method=quad when you have repeated measures in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/How-to-use-method-quad-when-you-have-repeated-measures/m-p/103596#M28981</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thaink about what you need here--since growth is assumed to be normally distributed (at least to have Gaussian error), you probably don't need method=quad.&amp;nbsp; The REML estimates should give what you are looking for.&amp;nbsp; However, if you do want to include the residual error in the optimization, then you could remove the residual option from the first RANDOM statement.&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>Wed, 10 Apr 2013 12:34:59 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2013-04-10T12:34:59Z</dc:date>
    <item>
      <title>How to use method=quad when you have repeated measures</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-to-use-method-quad-when-you-have-repeated-measures/m-p/103595#M28980</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;STRONG&gt;PROC GLIMMIX DATA=blah method = quad;&lt;BR /&gt;&amp;nbsp; CLASS sub team trial;&lt;BR /&gt;&amp;nbsp; MODEL growth = team ;&lt;BR /&gt;&amp;nbsp; RANDOM trial / SUBJECT=sub residual TYPE=CS;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&amp;nbsp; RANDOM trial trial*team;&lt;BR /&gt;run;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&lt;BR /&gt;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&lt;BR /&gt;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;I get an error stating that QUAD does not work for R-side effects.&lt;BR /&gt;&lt;/STRONG&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 10 Apr 2013 01:31:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-to-use-method-quad-when-you-have-repeated-measures/m-p/103595#M28980</guid>
      <dc:creator>coollord</dc:creator>
      <dc:date>2013-04-10T01:31:43Z</dc:date>
    </item>
    <item>
      <title>Re: How to use method=quad when you have repeated measures</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-to-use-method-quad-when-you-have-repeated-measures/m-p/103596#M28981</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thaink about what you need here--since growth is assumed to be normally distributed (at least to have Gaussian error), you probably don't need method=quad.&amp;nbsp; The REML estimates should give what you are looking for.&amp;nbsp; However, if you do want to include the residual error in the optimization, then you could remove the residual option from the first RANDOM statement.&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>Wed, 10 Apr 2013 12:34:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-to-use-method-quad-when-you-have-repeated-measures/m-p/103596#M28981</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2013-04-10T12:34:59Z</dc:date>
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