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    <title>topic Can I compare the goodness of fit between a NLMIXED model and a MIXED model using Information criteria? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Can-I-compare-the-goodness-of-fit-between-a-NLMIXED-model-and-a/m-p/147887#M7794</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I need to compare between NLMIXED and MIXED, and I am not sure if I can use AIC, BIC, or just look the residuals, or even fit the linear model on the NLMIXED. I would appreciate any thoughts you may have.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thank you&lt;/P&gt;&lt;P&gt;Marcio&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 19 Nov 2013 05:05:46 GMT</pubDate>
    <dc:creator>marcioadg</dc:creator>
    <dc:date>2013-11-19T05:05:46Z</dc:date>
    <item>
      <title>Can I compare the goodness of fit between a NLMIXED model and a MIXED model using Information criteria?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Can-I-compare-the-goodness-of-fit-between-a-NLMIXED-model-and-a/m-p/147887#M7794</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I need to compare between NLMIXED and MIXED, and I am not sure if I can use AIC, BIC, or just look the residuals, or even fit the linear model on the NLMIXED. I would appreciate any thoughts you may have.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thank you&lt;/P&gt;&lt;P&gt;Marcio&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 19 Nov 2013 05:05:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Can-I-compare-the-goodness-of-fit-between-a-NLMIXED-model-and-a/m-p/147887#M7794</guid>
      <dc:creator>marcioadg</dc:creator>
      <dc:date>2013-11-19T05:05:46Z</dc:date>
    </item>
    <item>
      <title>Re: Can I compare the goodness of fit between a NLMIXED model and a MIXED model using Information criteria?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Can-I-compare-the-goodness-of-fit-between-a-NLMIXED-model-and-a/m-p/147888#M7795</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;You can fit linear models in NLMIXED, and with proper definition, get information criteria that exactly match.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;The hard part of what you are asking comes down to making sure that your optimization methods are the same, fixed effects similarly defined, and DV measures are the same.&amp;nbsp; What do you have in mind to compare between the two methods?&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>Tue, 19 Nov 2013 15:16:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Can-I-compare-the-goodness-of-fit-between-a-NLMIXED-model-and-a/m-p/147888#M7795</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2013-11-19T15:16:06Z</dc:date>
    </item>
    <item>
      <title>Re: Can I compare the goodness of fit between a NLMIXED model and a MIXED model using Information criteria?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Can-I-compare-the-goodness-of-fit-between-a-NLMIXED-model-and-a/m-p/147889#M7796</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;NLMIXED does maximum likelihood only (ML). MIXED does REML as the default; you can't compare likelihoods or AIC, etc., between ML and REML. So if you want to compare the output of the two procedures, you must use METHOD=ML statement option in MIXED. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Also, you should use TECH=NRRIDG for the optimization technique in NLMIXED in order to match the optimization method used in MIXED. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 19 Nov 2013 15:38:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Can-I-compare-the-goodness-of-fit-between-a-NLMIXED-model-and-a/m-p/147889#M7796</guid>
      <dc:creator>lvm</dc:creator>
      <dc:date>2013-11-19T15:38:13Z</dc:date>
    </item>
    <item>
      <title>Re: Can I compare the goodness of fit between a NLMIXED model and a MIXED model using Information criteria?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Can-I-compare-the-goodness-of-fit-between-a-NLMIXED-model-and-a/m-p/147890#M7797</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;A __default_attr="178104" __jive_macro_name="user" class="jive_macro jive_macro_user" data-objecttype="3" href="https://communities.sas.com/"&gt;&lt;/A&gt; has set out what is needed when I said "proper definition".&amp;nbsp; Information criteria are better defined under ML, I think.&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>Tue, 19 Nov 2013 15:49:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Can-I-compare-the-goodness-of-fit-between-a-NLMIXED-model-and-a/m-p/147890#M7797</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2013-11-19T15:49:20Z</dc:date>
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