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    <title>topic multiple imputation with missing outcome data longitudinal study in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/multiple-imputation-with-missing-outcome-data-longitudinal-study/m-p/646385#M193342</link>
    <description>&lt;P&gt;Hello,&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; I am working with a dataset in which we measure if a person was unemployed in different years. for example, we ask "are you currently unemployed" in 2009, 2011, 2014, etc. I am wanting to do multiple imputation on my dataset but I do not know if I should add the outcome into my model because for some waves of data, people did not answer the question and if I include it into the multiple imputation model, SAS will generate values for my outcome variable which i do not want ( I know with multiple imputation, you just want the covariates to be filled in but not the outcome variable). Normally, your outcome and main exposure variable are already complete but since I have a longitudinal design, not all the outcome variables are completed.&amp;nbsp;&lt;/P&gt;&lt;P&gt;should I add the main outcome variable to the imputation model or leave it out?&lt;/P&gt;&lt;P&gt;thank you&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Sat, 09 May 2020 13:50:49 GMT</pubDate>
    <dc:creator>katy-barry</dc:creator>
    <dc:date>2020-05-09T13:50:49Z</dc:date>
    <item>
      <title>multiple imputation with missing outcome data longitudinal study</title>
      <link>https://communities.sas.com/t5/SAS-Programming/multiple-imputation-with-missing-outcome-data-longitudinal-study/m-p/646385#M193342</link>
      <description>&lt;P&gt;Hello,&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp; I am working with a dataset in which we measure if a person was unemployed in different years. for example, we ask "are you currently unemployed" in 2009, 2011, 2014, etc. I am wanting to do multiple imputation on my dataset but I do not know if I should add the outcome into my model because for some waves of data, people did not answer the question and if I include it into the multiple imputation model, SAS will generate values for my outcome variable which i do not want ( I know with multiple imputation, you just want the covariates to be filled in but not the outcome variable). Normally, your outcome and main exposure variable are already complete but since I have a longitudinal design, not all the outcome variables are completed.&amp;nbsp;&lt;/P&gt;&lt;P&gt;should I add the main outcome variable to the imputation model or leave it out?&lt;/P&gt;&lt;P&gt;thank you&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 09 May 2020 13:50:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/multiple-imputation-with-missing-outcome-data-longitudinal-study/m-p/646385#M193342</guid>
      <dc:creator>katy-barry</dc:creator>
      <dc:date>2020-05-09T13:50:49Z</dc:date>
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