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    <title>topic Re: Quantreg with Longitudinal Data? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Quantreg-with-Longitudinal-Data/m-p/164866#M8605</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;If all subjects are measured at all time points, you could get a very good longitudinal analysis by using a spline on the time effect.&amp;nbsp; This could be accomplished through the use of the EFFECT statement.&amp;nbsp; See Example 77.4 Nonparametric Quantile Regression for Oxone Levels in the PROC QUANTREG documentation.&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, 02 Apr 2014 16:34:50 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2014-04-02T16:34:50Z</dc:date>
    <item>
      <title>Quantreg with Longitudinal Data?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quantreg-with-Longitudinal-Data/m-p/164865#M8604</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Is it possible to use proc quantreg for longitudinal data?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 02 Apr 2014 16:01:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quantreg-with-Longitudinal-Data/m-p/164865#M8604</guid>
      <dc:creator>AlyseS</dc:creator>
      <dc:date>2014-04-02T16:01:00Z</dc:date>
    </item>
    <item>
      <title>Re: Quantreg with Longitudinal Data?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quantreg-with-Longitudinal-Data/m-p/164866#M8605</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;If all subjects are measured at all time points, you could get a very good longitudinal analysis by using a spline on the time effect.&amp;nbsp; This could be accomplished through the use of the EFFECT statement.&amp;nbsp; See Example 77.4 Nonparametric Quantile Regression for Oxone Levels in the PROC QUANTREG documentation.&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, 02 Apr 2014 16:34:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quantreg-with-Longitudinal-Data/m-p/164866#M8605</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2014-04-02T16:34:50Z</dc:date>
    </item>
    <item>
      <title>Re: Quantreg with Longitudinal Data?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quantreg-with-Longitudinal-Data/m-p/164867#M8606</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thanks, Steve.&amp;nbsp; My data is not balanced, subjects are not measured at all time points.&amp;nbsp; Also, between subjects, the timepoints measured may be different.&amp;nbsp; Time 1 for subject X is at a different point than Time 1 for subject Y.&amp;nbsp; To be more detailed, I'm looking at markers of disease among controls and trying to plot deciles over time.&amp;nbsp; I want to use these as possible cutoffs to compare to diseased patients.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 02 Apr 2014 17:08:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quantreg-with-Longitudinal-Data/m-p/164867#M8606</guid>
      <dc:creator>AlyseS</dc:creator>
      <dc:date>2014-04-02T17:08:09Z</dc:date>
    </item>
    <item>
      <title>Re: Quantreg with Longitudinal Data?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quantreg-with-Longitudinal-Data/m-p/164868#M8607</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Mmm.&amp;nbsp; Well, you could "fluff" the data so that all time points are represented for all subjects, but with missing dependent values, and still get this to work.&amp;nbsp; At least it should work in principle.&amp;nbsp; I think that is the only way you are going to get to the quantile estimates.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Even if you were working for the mean estimate, PROC MIXED or GLIMMIX really would not like semi-sparse longitudinal data.&amp;nbsp; Can the times be binned, say by week or somesuch, to get around the unevenness? &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, 02 Apr 2014 18:20:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quantreg-with-Longitudinal-Data/m-p/164868#M8607</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2014-04-02T18:20:12Z</dc:date>
    </item>
    <item>
      <title>Re: Quantreg with Longitudinal Data?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quantreg-with-Longitudinal-Data/m-p/164869#M8608</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;It is simply repeated measures so proc mixed handles it fine when I am looking for the mean estimate and use the repeated statement.&amp;nbsp; Right now time is in days, I could bin to weeks, but it doesn't really solve the issue.&amp;nbsp; Subject X could have the first measure at Week 2 while Subject Y has the first measure at Week 3.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 02 Apr 2014 18:52:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quantreg-with-Longitudinal-Data/m-p/164869#M8608</guid>
      <dc:creator>AlyseS</dc:creator>
      <dc:date>2014-04-02T18:52:09Z</dc:date>
    </item>
    <item>
      <title>Re: Quantreg with Longitudinal Data?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quantreg-with-Longitudinal-Data/m-p/915631#M45427</link>
      <description>&lt;P&gt;This is an old thread.&amp;nbsp; Has any progress been made?&amp;nbsp; Is there a way, with SAS, to carry out quantile regression with longitudinal data?&amp;nbsp; The Effect option on proc quantreg was mentioned but that doesn't account for the serial dependence in the data.&lt;/P&gt;</description>
      <pubDate>Mon, 12 Feb 2024 17:43:37 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quantreg-with-Longitudinal-Data/m-p/915631#M45427</guid>
      <dc:creator>gp4</dc:creator>
      <dc:date>2024-02-12T17:43:37Z</dc:date>
    </item>
    <item>
      <title>Re: Quantreg with Longitudinal Data?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quantreg-with-Longitudinal-Data/m-p/925323#M46003</link>
      <description>I have the same question.</description>
      <pubDate>Tue, 23 Apr 2024 06:43:10 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quantreg-with-Longitudinal-Data/m-p/925323#M46003</guid>
      <dc:creator>vstorme</dc:creator>
      <dc:date>2024-04-23T06:43:10Z</dc:date>
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