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    <title>topic Re: Mixed logit model with a weight statement in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Mixed-logit-model-with-a-weight-statement/m-p/215981#M11709</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;This is a shot in the dark.&amp;nbsp; Try looking at PROC LOGISTIC or PROC SURVEYLOGISTIC.&amp;nbsp; Both support a WEIGHT statement, but it needs to be considered carefully.&amp;nbsp; PROC GLIMMIX also supports a WEIGHT statement, and a weight= option in the 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>Mon, 03 Aug 2015 20:03:06 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2015-08-03T20:03:06Z</dc:date>
    <item>
      <title>Mixed logit model with a weight statement</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Mixed-logit-model-with-a-weight-statement/m-p/215980#M11708</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;Is is possible to perform a mixed logit with a weight statement? The procedure I know to perform mixed logit models is proc MDC with the option type=mixedlogit, which doesn't support the weight statement. Otherwise, I think the estimated parameters will be biaised, because the weight of the individual in my database varies from 0.8 to 10.3. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 03 Aug 2015 19:47:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Mixed-logit-model-with-a-weight-statement/m-p/215980#M11708</guid>
      <dc:creator>Demographer</dc:creator>
      <dc:date>2015-08-03T19:47:23Z</dc:date>
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    <item>
      <title>Re: Mixed logit model with a weight statement</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Mixed-logit-model-with-a-weight-statement/m-p/215981#M11709</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;This is a shot in the dark.&amp;nbsp; Try looking at PROC LOGISTIC or PROC SURVEYLOGISTIC.&amp;nbsp; Both support a WEIGHT statement, but it needs to be considered carefully.&amp;nbsp; PROC GLIMMIX also supports a WEIGHT statement, and a weight= option in the 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>Mon, 03 Aug 2015 20:03:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Mixed-logit-model-with-a-weight-statement/m-p/215981#M11709</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2015-08-03T20:03:06Z</dc:date>
    </item>
    <item>
      <title>Re: Mixed logit model with a weight statement</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Mixed-logit-model-with-a-weight-statement/m-p/215982#M11710</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Unfortunately, for a mixed logit model, we have to use the STRATA statement. Thus, the weight statement is not supported neither with PROC LOGISTIC.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;GLIMMIX and SURVEYLOGISTIC don't work on my SAS version. I'll try them later. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 03 Aug 2015 20:23:55 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Mixed-logit-model-with-a-weight-statement/m-p/215982#M11710</guid>
      <dc:creator>Demographer</dc:creator>
      <dc:date>2015-08-03T20:23:55Z</dc:date>
    </item>
    <item>
      <title>Re: Mixed logit model with a weight statement</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Mixed-logit-model-with-a-weight-statement/m-p/215983#M11711</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;In particular, you would probably need access to SAS/STAT 13.2 or higher for what I was looking at for GLIMMIX.&amp;nbsp; In the Details part of the documentation, there is a section titled 'Pseudo-likelihood Estimation for Weighted Multilevel Models' where a three level model, with different weights at each level is fit.&amp;nbsp; This may very well parallel what you are doing.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;One thing I did notice in PROC MDC is that the residual error is fit as having a Gumbel distribution for TYPE=MIXEDLOGIT.&amp;nbsp; I don't believe that is available in the procs I recommended, although an alternative link function could be written for this distribution in GLIMMIX.&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, 04 Aug 2015 12:46:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Mixed-logit-model-with-a-weight-statement/m-p/215983#M11711</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2015-08-04T12:46:09Z</dc:date>
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