<?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 fixed effect AND clustered standard error in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/fixed-effect-AND-clustered-standard-error/m-p/578260#M28402</link>
    <description>&lt;P&gt;Could you please refer me to the document that shows how to include fixed effect AND clustered standard error in SAS? I can't find any post that intuitively shows how to do it.&lt;/P&gt;</description>
    <pubDate>Thu, 01 Aug 2019 03:21:07 GMT</pubDate>
    <dc:creator>Ji-Hoon</dc:creator>
    <dc:date>2019-08-01T03:21:07Z</dc:date>
    <item>
      <title>fixed effect AND clustered standard error</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/fixed-effect-AND-clustered-standard-error/m-p/578260#M28402</link>
      <description>&lt;P&gt;Could you please refer me to the document that shows how to include fixed effect AND clustered standard error in SAS? I can't find any post that intuitively shows how to do it.&lt;/P&gt;</description>
      <pubDate>Thu, 01 Aug 2019 03:21:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/fixed-effect-AND-clustered-standard-error/m-p/578260#M28402</guid>
      <dc:creator>Ji-Hoon</dc:creator>
      <dc:date>2019-08-01T03:21:07Z</dc:date>
    </item>
    <item>
      <title>Re: fixed effect AND clustered standard error</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/fixed-effect-AND-clustered-standard-error/m-p/578709#M28410</link>
      <description>&lt;P&gt;What you loosely describe could possibly be interpreted as a Generalized Estimating Equations model which can be fit in PROC GEE or PROC GENMOD. Another possibility, if the response is binary, is a conditional logistic model which can be fit using the STRATA statement in PROC LOGISTIC. You might want to look through the book "Fixed Effects Regression Methods for Longitudinal Data Using SAS"&amp;nbsp; (Allison, P., SAS Institute, 2005).&lt;/P&gt;</description>
      <pubDate>Fri, 02 Aug 2019 14:11:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/fixed-effect-AND-clustered-standard-error/m-p/578709#M28410</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2019-08-02T14:11:33Z</dc:date>
    </item>
  </channel>
</rss>

