<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Controlling for variable in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Controlling-for-variable/m-p/274717#M14494</link>
    <description>&lt;P&gt;Hello&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am writing after trying to understand it, also asked in SAS programming (by mistake) and got the attached&amp;nbsp;answer.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;My question is&lt;/STRONG&gt; - I want to use PROC MIXED as I have fixed effect and also random effects in my model. Which statement in SAS reprents the CONTROL VARIABLES in my model? is this the CLASS statement?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;The answer I got from the gentelman is:&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;Questions like this are better suited for the Statistical Procedures forum.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;You should start by reading the entire chapter on PROC MIXED.&amp;nbsp; The CLASS statement is for identifying variables that are represented by levels (e.g. race) rather than on a continuium (e.g. age); this is the way that the CLASS statement is used in all of the SAS stat procedures.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;"Control" variables are another type of independent variable.&amp;nbsp; The SAS procedures don't treat them any differently, but the analyst thinks about them differently.&amp;nbsp; I see the term most often in&amp;nbsp;epidemiology.&amp;nbsp; They are usually independent variables that effect the outcome but aren't the topic of interest in the analysis (e.g. In a general regression framework, someone might want to "examine the effect of BP on heart rate controlling for age.").&amp;nbsp; In MIXED, most control variables are fixed effects.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Finally&lt;/STRONG&gt;- Can you help me by telling me which topics I have to read&amp;nbsp;in order to find more knowledge on control variables in SAS (especially in PROC MIXED)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Thanks a lot for any help:&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Thu, 02 Jun 2016 15:30:32 GMT</pubDate>
    <dc:creator>yael</dc:creator>
    <dc:date>2016-06-02T15:30:32Z</dc:date>
    <item>
      <title>Controlling for variable</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Controlling-for-variable/m-p/274717#M14494</link>
      <description>&lt;P&gt;Hello&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am writing after trying to understand it, also asked in SAS programming (by mistake) and got the attached&amp;nbsp;answer.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;My question is&lt;/STRONG&gt; - I want to use PROC MIXED as I have fixed effect and also random effects in my model. Which statement in SAS reprents the CONTROL VARIABLES in my model? is this the CLASS statement?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;The answer I got from the gentelman is:&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;Questions like this are better suited for the Statistical Procedures forum.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;You should start by reading the entire chapter on PROC MIXED.&amp;nbsp; The CLASS statement is for identifying variables that are represented by levels (e.g. race) rather than on a continuium (e.g. age); this is the way that the CLASS statement is used in all of the SAS stat procedures.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;"Control" variables are another type of independent variable.&amp;nbsp; The SAS procedures don't treat them any differently, but the analyst thinks about them differently.&amp;nbsp; I see the term most often in&amp;nbsp;epidemiology.&amp;nbsp; They are usually independent variables that effect the outcome but aren't the topic of interest in the analysis (e.g. In a general regression framework, someone might want to "examine the effect of BP on heart rate controlling for age.").&amp;nbsp; In MIXED, most control variables are fixed effects.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Finally&lt;/STRONG&gt;- Can you help me by telling me which topics I have to read&amp;nbsp;in order to find more knowledge on control variables in SAS (especially in PROC MIXED)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Thanks a lot for any help:&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 02 Jun 2016 15:30:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Controlling-for-variable/m-p/274717#M14494</guid>
      <dc:creator>yael</dc:creator>
      <dc:date>2016-06-02T15:30:32Z</dc:date>
    </item>
    <item>
      <title>Re: Controlling for variable</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Controlling-for-variable/m-p/274753#M14495</link>
      <description>&lt;P&gt;For starters read the documentation.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_mixed_sect001.htm" target="_blank"&gt;https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_mixed_sect001.htm&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The previous answer is correct, a CONTROL variable is an independent variable which can be continuous or categorical.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The term CONTROL variable doesn't really exist within SAS. Is there something specific you're looking for, with regards to the variable/analysis?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 02 Jun 2016 18:00:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Controlling-for-variable/m-p/274753#M14495</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2016-06-02T18:00:24Z</dc:date>
    </item>
  </channel>
</rss>

