<?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 Pooling results after multiple imputations in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Pooling-results-after-multiple-imputations/m-p/439900#M23193</link>
    <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am new to PROC MI. I have 500 unique patient data with 30 variables, of which 15 variables have missing values. Using multiple imputations procedure, I was able to impute 15 different variables (some binary, some ordinal and a few nominal); 30 imputations in total. So my final data set contains 15000 observations. Then I created a few summary variables from the "new imputed variables" to be used as covariates in the regression models. Now, I am unable to conduct univariate, bivariate and multivariate analyses using standard SAS procedures and then combining them using PROC MIANALYZE. I want to do something like the following using the multiple imputed data set (30 imputations):&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;1. I want to have standard table 1 to describe my sample. I want to report: n (%) for categorical variables and mean (SD) for continuous.&amp;nbsp;&lt;/P&gt;&lt;P&gt;2. I want to have standard table 2 to describe my sample by my exposure (2 level) and conduct a Chi-square for categorical variables and t-test for continuous.&lt;/P&gt;&lt;P&gt;3. I want to have standard table 3 which compares adjusted LS Means and SE for my continuous OUTCOME variable across the exposure, adjusting for several covariates.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Could someone please guide me? Thanks.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;-Raj&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Sat, 24 Feb 2018 01:40:44 GMT</pubDate>
    <dc:creator>raj00728</dc:creator>
    <dc:date>2018-02-24T01:40:44Z</dc:date>
    <item>
      <title>Pooling results after multiple imputations</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Pooling-results-after-multiple-imputations/m-p/439900#M23193</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am new to PROC MI. I have 500 unique patient data with 30 variables, of which 15 variables have missing values. Using multiple imputations procedure, I was able to impute 15 different variables (some binary, some ordinal and a few nominal); 30 imputations in total. So my final data set contains 15000 observations. Then I created a few summary variables from the "new imputed variables" to be used as covariates in the regression models. Now, I am unable to conduct univariate, bivariate and multivariate analyses using standard SAS procedures and then combining them using PROC MIANALYZE. I want to do something like the following using the multiple imputed data set (30 imputations):&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;1. I want to have standard table 1 to describe my sample. I want to report: n (%) for categorical variables and mean (SD) for continuous.&amp;nbsp;&lt;/P&gt;&lt;P&gt;2. I want to have standard table 2 to describe my sample by my exposure (2 level) and conduct a Chi-square for categorical variables and t-test for continuous.&lt;/P&gt;&lt;P&gt;3. I want to have standard table 3 which compares adjusted LS Means and SE for my continuous OUTCOME variable across the exposure, adjusting for several covariates.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Could someone please guide me? Thanks.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;-Raj&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 24 Feb 2018 01:40:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Pooling-results-after-multiple-imputations/m-p/439900#M23193</guid>
      <dc:creator>raj00728</dc:creator>
      <dc:date>2018-02-24T01:40:44Z</dc:date>
    </item>
    <item>
      <title>Re: Pooling results after multiple imputations</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Pooling-results-after-multiple-imputations/m-p/634767#M30384</link>
      <description>&lt;P&gt;Hey,&amp;nbsp;&lt;/P&gt;&lt;P&gt;Did you figured out pooling frequency and means (SD) after imputation?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Brad.&lt;/P&gt;</description>
      <pubDate>Wed, 25 Mar 2020 14:14:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Pooling-results-after-multiple-imputations/m-p/634767#M30384</guid>
      <dc:creator>Brad19</dc:creator>
      <dc:date>2020-03-25T14:14:24Z</dc:date>
    </item>
    <item>
      <title>Re: Pooling results after multiple imputations</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Pooling-results-after-multiple-imputations/m-p/634869#M30385</link>
      <description>&lt;P&gt;The best way to get a quality response is to post sample data, the SAS code you are using (even if it is wrong), and an explanation of what you are trying to accomplish.&amp;nbsp; Even if you don't know enough to write code, you can describe the problem and someone can point you to documentation and examples.&lt;/P&gt;</description>
      <pubDate>Wed, 25 Mar 2020 18:54:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Pooling-results-after-multiple-imputations/m-p/634869#M30385</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2020-03-25T18:54:56Z</dc:date>
    </item>
    <item>
      <title>Re: Pooling results after multiple imputations</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Pooling-results-after-multiple-imputations/m-p/637241#M30492</link>
      <description>I think it does not require to send you the codes or dataset. One who has done it write the syntax to ease others using SAS community.</description>
      <pubDate>Fri, 03 Apr 2020 12:41:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Pooling-results-after-multiple-imputations/m-p/637241#M30492</guid>
      <dc:creator>Brad19</dc:creator>
      <dc:date>2020-04-03T12:41:43Z</dc:date>
    </item>
    <item>
      <title>Re: Pooling results after multiple imputations</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Pooling-results-after-multiple-imputations/m-p/667084#M31808</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;Did you finally succeed in&amp;nbsp; pooling your imputed dataset through sas? It seems SPSS has an easy syntax to pool imputed dataset according to Rubin's rule but i can't find any syntax for this in SAS.&lt;/P&gt;</description>
      <pubDate>Mon, 06 Jul 2020 01:40:34 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Pooling-results-after-multiple-imputations/m-p/667084#M31808</guid>
      <dc:creator>ChuksManuel</dc:creator>
      <dc:date>2020-07-06T01:40:34Z</dc:date>
    </item>
    <item>
      <title>Re: Pooling results after multiple imputations</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Pooling-results-after-multiple-imputations/m-p/667085#M31809</link>
      <description>Hello Brad,&lt;BR /&gt;&lt;BR /&gt;Did you make a find a syntax for pooling imputed datasets?&lt;BR /&gt;</description>
      <pubDate>Mon, 06 Jul 2020 01:42:04 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Pooling-results-after-multiple-imputations/m-p/667085#M31809</guid>
      <dc:creator>ChuksManuel</dc:creator>
      <dc:date>2020-07-06T01:42:04Z</dc:date>
    </item>
    <item>
      <title>Re: Pooling results after multiple imputations</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Pooling-results-after-multiple-imputations/m-p/667089#M31810</link>
      <description>This paper was helpful &lt;A href="https://www.lexjansen.com/pharmasug/2013/SP/PharmaSUG-2013-SP03.pdf" target="_blank"&gt;https://www.lexjansen.com/pharmasug/2013/SP/PharmaSUG-2013-SP03.pdf&lt;/A&gt;</description>
      <pubDate>Mon, 06 Jul 2020 02:20:39 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Pooling-results-after-multiple-imputations/m-p/667089#M31810</guid>
      <dc:creator>ChuksManuel</dc:creator>
      <dc:date>2020-07-06T02:20:39Z</dc:date>
    </item>
  </channel>
</rss>

