<?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 Multiple imputation, FCS vs MCMC in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Multiple-imputation-FCS-vs-MCMC/m-p/503870#M25919</link>
    <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am having problem understanding when to use FCS method and when to use MCMC method in multiple imputation. Missing data pattern is Arbitrary in my dataset.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;</description>
    <pubDate>Fri, 12 Oct 2018 19:40:46 GMT</pubDate>
    <dc:creator>Kyra</dc:creator>
    <dc:date>2018-10-12T19:40:46Z</dc:date>
    <item>
      <title>Multiple imputation, FCS vs MCMC</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Multiple-imputation-FCS-vs-MCMC/m-p/503870#M25919</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am having problem understanding when to use FCS method and when to use MCMC method in multiple imputation. Missing data pattern is Arbitrary in my dataset.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;</description>
      <pubDate>Fri, 12 Oct 2018 19:40:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Multiple-imputation-FCS-vs-MCMC/m-p/503870#M25919</guid>
      <dc:creator>Kyra</dc:creator>
      <dc:date>2018-10-12T19:40:46Z</dc:date>
    </item>
    <item>
      <title>Re: Multiple imputation, FCS vs MCMC</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Multiple-imputation-FCS-vs-MCMC/m-p/503942#M25922</link>
      <description>MCMC method would be for continuous variables that are assumed to follow a multivariate normal distribution.  FCS assumes the existence of a joint distribution for all variables.  It allows for a mixture of continuous and categorical variables.</description>
      <pubDate>Fri, 12 Oct 2018 22:50:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Multiple-imputation-FCS-vs-MCMC/m-p/503942#M25922</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2018-10-12T22:50:40Z</dc:date>
    </item>
  </channel>
</rss>

