<?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 Univariate Predictive Imputation in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/Univariate-Predictive-Imputation/m-p/321556#M61967</link>
    <description>&lt;P&gt;Hello All,&lt;/P&gt;&lt;P&gt;I have a variable whose 10% is missing in my training data. I want to impute this by applying predictive imputation in SAS.I have seen that in R, there is mice imputation which is very similar to what I want to do. I had a look at proc mi in SAS but it does not allow univarite imputation. Which procedure or method should I use in SAS?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Engin&lt;/P&gt;</description>
    <pubDate>Thu, 29 Dec 2016 09:06:32 GMT</pubDate>
    <dc:creator>fuatengin</dc:creator>
    <dc:date>2016-12-29T09:06:32Z</dc:date>
    <item>
      <title>Univariate Predictive Imputation</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Univariate-Predictive-Imputation/m-p/321556#M61967</link>
      <description>&lt;P&gt;Hello All,&lt;/P&gt;&lt;P&gt;I have a variable whose 10% is missing in my training data. I want to impute this by applying predictive imputation in SAS.I have seen that in R, there is mice imputation which is very similar to what I want to do. I had a look at proc mi in SAS but it does not allow univarite imputation. Which procedure or method should I use in SAS?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Engin&lt;/P&gt;</description>
      <pubDate>Thu, 29 Dec 2016 09:06:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Univariate-Predictive-Imputation/m-p/321556#M61967</guid>
      <dc:creator>fuatengin</dc:creator>
      <dc:date>2016-12-29T09:06:32Z</dc:date>
    </item>
    <item>
      <title>Re: Univariate Predictive Imputation</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Univariate-Predictive-Imputation/m-p/321585#M61970</link>
      <description>&lt;P&gt;How do you define predictive imputation ?&lt;/P&gt;
&lt;P&gt;Maybe you could make some dummy variables and apply to proc mi .&lt;/P&gt;</description>
      <pubDate>Thu, 29 Dec 2016 13:49:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Univariate-Predictive-Imputation/m-p/321585#M61970</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2016-12-29T13:49:52Z</dc:date>
    </item>
    <item>
      <title>Re: Univariate Predictive Imputation</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Univariate-Predictive-Imputation/m-p/321606#M61971</link>
      <description>&lt;P&gt;Well, I choose all the variable to be imputed but all of them&amp;nbsp;except for the one I tried to impute have no missing value, so proc mi only imputed one feature. I think problem is solved&lt;/P&gt;</description>
      <pubDate>Thu, 29 Dec 2016 16:41:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Univariate-Predictive-Imputation/m-p/321606#M61971</guid>
      <dc:creator>fuatengin</dc:creator>
      <dc:date>2016-12-29T16:41:01Z</dc:date>
    </item>
  </channel>
</rss>

