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    <title>topic model comparison in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/model-comparison/m-p/41627#M1790</link>
    <description>Hi everyone.&lt;BR /&gt;
&lt;BR /&gt;
I have done some reading about halving the p-value (difference in -2LL) when comparing 2 different models produced by proc mixed. Is it more appropriate this way? &lt;BR /&gt;
&lt;BR /&gt;
Your advice is greatly appreciated. Have a great day.</description>
    <pubDate>Sat, 16 Jan 2010 09:59:35 GMT</pubDate>
    <dc:creator>Miracle</dc:creator>
    <dc:date>2010-01-16T09:59:35Z</dc:date>
    <item>
      <title>model comparison</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/model-comparison/m-p/41627#M1790</link>
      <description>Hi everyone.&lt;BR /&gt;
&lt;BR /&gt;
I have done some reading about halving the p-value (difference in -2LL) when comparing 2 different models produced by proc mixed. Is it more appropriate this way? &lt;BR /&gt;
&lt;BR /&gt;
Your advice is greatly appreciated. Have a great day.</description>
      <pubDate>Sat, 16 Jan 2010 09:59:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/model-comparison/m-p/41627#M1790</guid>
      <dc:creator>Miracle</dc:creator>
      <dc:date>2010-01-16T09:59:35Z</dc:date>
    </item>
    <item>
      <title>Re: model comparison</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/model-comparison/m-p/41628#M1791</link>
      <description>Check the AIC values( Akaike's Information Criteria) when comparing between models using PROC MIXED. The model with a smaller value of AIC is a better fit of the data</description>
      <pubDate>Wed, 31 Mar 2010 06:46:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/model-comparison/m-p/41628#M1791</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2010-03-31T06:46:22Z</dc:date>
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