<?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 PROC SURVEYREG - non normal distribution in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/PROC-SURVEYREG-non-normal-distribution/m-p/922792#M363349</link>
    <description>&lt;P&gt;Is there a way to use proc surveyreg with a non-normal distribution? My outcome variable is continuous but right-skewed, so my first thought was to use PROC GLM which could relax the assumption of a linear regression to have a normal distribution. However, I have not seen a feasible way to use survey weights with PROC GLM, and I am using complex survey data.&lt;/P&gt;</description>
    <pubDate>Wed, 03 Apr 2024 17:20:33 GMT</pubDate>
    <dc:creator>amng24</dc:creator>
    <dc:date>2024-04-03T17:20:33Z</dc:date>
    <item>
      <title>PROC SURVEYREG - non normal distribution</title>
      <link>https://communities.sas.com/t5/SAS-Programming/PROC-SURVEYREG-non-normal-distribution/m-p/922792#M363349</link>
      <description>&lt;P&gt;Is there a way to use proc surveyreg with a non-normal distribution? My outcome variable is continuous but right-skewed, so my first thought was to use PROC GLM which could relax the assumption of a linear regression to have a normal distribution. However, I have not seen a feasible way to use survey weights with PROC GLM, and I am using complex survey data.&lt;/P&gt;</description>
      <pubDate>Wed, 03 Apr 2024 17:20:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/PROC-SURVEYREG-non-normal-distribution/m-p/922792#M363349</guid>
      <dc:creator>amng24</dc:creator>
      <dc:date>2024-04-03T17:20:33Z</dc:date>
    </item>
    <item>
      <title>Re: PROC SURVEYREG - non normal distribution</title>
      <link>https://communities.sas.com/t5/SAS-Programming/PROC-SURVEYREG-non-normal-distribution/m-p/922800#M363352</link>
      <description>&lt;P&gt;Most types of regression do not require normally distributed y-variables. Regression does require normally distributed errors, which are measured by the residuals. If the residuals are not normally distributed, then perhaps you need to traansform the data somehow.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://blogs.sas.com/content/iml/2018/08/27/on-the-assumptions-and-misconceptions-of-linear-regression.html" target="_blank"&gt;https://blogs.sas.com/content/iml/2018/08/27/on-the-assumptions-and-misconceptions-of-linear-regression.html&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 03 Apr 2024 17:46:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/PROC-SURVEYREG-non-normal-distribution/m-p/922800#M363352</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2024-04-03T17:46:12Z</dc:date>
    </item>
  </channel>
</rss>

