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    <title>topic Re: Quantile Regression: Controlling for the effects of the nuisance covariates in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Quantile-Regression-Controlling-for-the-effects-of-the-nuisance/m-p/599505#M29140</link>
    <description>1. Continuous variables&lt;BR /&gt;&lt;BR /&gt;2. After the data&lt;BR /&gt;&lt;BR /&gt;Thanks&lt;BR /&gt;</description>
    <pubDate>Sat, 26 Oct 2019 03:59:19 GMT</pubDate>
    <dc:creator>Larry103</dc:creator>
    <dc:date>2019-10-26T03:59:19Z</dc:date>
    <item>
      <title>Quantile Regression: Controlling for the effects of the nuisance covariates</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quantile-Regression-Controlling-for-the-effects-of-the-nuisance/m-p/598916#M29133</link>
      <description>&lt;P&gt;Dear SAS experts&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;What would be the proper way to adjust the effects of the nuisance covariates in quantile regression?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Y=Dependent var&lt;/P&gt;&lt;P&gt;X=Independent var&lt;/P&gt;&lt;P&gt;Nuisance covariates=Age, Edu&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks for considering my request.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;PS. SAS 9.4 on PC&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards&lt;/P&gt;&lt;P&gt;Larry Lai&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 24 Oct 2019 04:21:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quantile-Regression-Controlling-for-the-effects-of-the-nuisance/m-p/598916#M29133</guid>
      <dc:creator>Larry103</dc:creator>
      <dc:date>2019-10-24T04:21:22Z</dc:date>
    </item>
    <item>
      <title>Re: Quantile Regression: Controlling for the effects of the nuisance covariates</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quantile-Regression-Controlling-for-the-effects-of-the-nuisance/m-p/599076#M29134</link>
      <description>&lt;P&gt;1. Are the AGE and EDU variables continuous or categorical?&lt;/P&gt;
&lt;P&gt;2. Are you asking this question BEFORE the data are collected or after? In other words, are you asking about how to set up an experimental design to control for age and education level as part of measuring response? Or&amp;nbsp;&lt;SPAN&gt;do you have the data and you want to incorporate AGE and EDU into the model?&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 24 Oct 2019 15:40:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quantile-Regression-Controlling-for-the-effects-of-the-nuisance/m-p/599076#M29134</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2019-10-24T15:40:51Z</dc:date>
    </item>
    <item>
      <title>Re: Quantile Regression: Controlling for the effects of the nuisance covariates</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quantile-Regression-Controlling-for-the-effects-of-the-nuisance/m-p/599505#M29140</link>
      <description>1. Continuous variables&lt;BR /&gt;&lt;BR /&gt;2. After the data&lt;BR /&gt;&lt;BR /&gt;Thanks&lt;BR /&gt;</description>
      <pubDate>Sat, 26 Oct 2019 03:59:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quantile-Regression-Controlling-for-the-effects-of-the-nuisance/m-p/599505#M29140</guid>
      <dc:creator>Larry103</dc:creator>
      <dc:date>2019-10-26T03:59:19Z</dc:date>
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