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    <title>topic proc nlmixed score a new data set in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/proc-nlmixed-score-a-new-data-set/m-p/174132#M301890</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;BR /&gt;Is there an equivalent of Proc PLM or Proc Score that can be used with Proc NLMixed? I want to save the parameters from Proc NLMixed and use them at a later date without rerunning NLMixed.&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;&lt;P&gt;Nicky&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 16 Dec 2013 12:58:30 GMT</pubDate>
    <dc:creator>NickyD</dc:creator>
    <dc:date>2013-12-16T12:58:30Z</dc:date>
    <item>
      <title>proc nlmixed score a new data set</title>
      <link>https://communities.sas.com/t5/SAS-Programming/proc-nlmixed-score-a-new-data-set/m-p/174132#M301890</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;BR /&gt;Is there an equivalent of Proc PLM or Proc Score that can be used with Proc NLMixed? I want to save the parameters from Proc NLMixed and use them at a later date without rerunning NLMixed.&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;&lt;P&gt;Nicky&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 16 Dec 2013 12:58:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/proc-nlmixed-score-a-new-data-set/m-p/174132#M301890</guid>
      <dc:creator>NickyD</dc:creator>
      <dc:date>2013-12-16T12:58:30Z</dc:date>
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    <item>
      <title>Re: proc nlmixed score a new data set</title>
      <link>https://communities.sas.com/t5/SAS-Programming/proc-nlmixed-score-a-new-data-set/m-p/174133#M301891</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I think the closest you could come is to append the additional observations with the dependent variable set to missing, and then use the PREDICT statement.&amp;nbsp; I think the problem that will arise has to do with subjects not being in both datasets, and consequently a lack of EBE's for the variance for the new subjects.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Given that, probably the best "predictor" would be the marginal estimate obtained by plugging in the fixed effect estimators.&amp;nbsp; This assumes that the random effects are normal[0,sigma2], and so would not change the point estimate.&amp;nbsp; Interval estimates, well, I am stumped as I don't see how to include the random effect variance for the additional subjects.&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 Dec 2013 13:38:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/proc-nlmixed-score-a-new-data-set/m-p/174133#M301891</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2013-12-16T13:38:22Z</dc:date>
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