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    <title>topic Re: multiple imputation question - no variability across imputations? in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/multiple-imputation-question-no-variability-across-imputations/m-p/68931#M19756</link>
    <description>Hi,&lt;BR /&gt;
&lt;BR /&gt;
If you want to impute the missing values with mean or median or 0 or with any stats, you have to use Proc STDIZE procedure.The below is the example &lt;BR /&gt;
&lt;BR /&gt;
proc stdize data=abc method=median reponly;&lt;BR /&gt;
run;&lt;BR /&gt;
&lt;BR /&gt;
For missing values if we want to impute with zeroes then the example would be &lt;BR /&gt;
&lt;BR /&gt;
proc stdize data=abc missing=0 reponly;&lt;BR /&gt;
run;&lt;BR /&gt;
&lt;BR /&gt;
Kindly let me know if this useful or not.</description>
    <pubDate>Thu, 31 Mar 2011 19:38:02 GMT</pubDate>
    <dc:creator>Sekhar</dc:creator>
    <dc:date>2011-03-31T19:38:02Z</dc:date>
    <item>
      <title>multiple imputation question - no variability across imputations?</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/multiple-imputation-question-no-variability-across-imputations/m-p/68929#M19754</link>
      <description>I have been running multiple imputations on a dataset I have.  The problem I'm getting is that there is no variability across imputations - the estimate is the same for each imputation.  Can someone tell me what the problem is?</description>
      <pubDate>Tue, 13 Jan 2009 17:05:39 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/multiple-imputation-question-no-variability-across-imputations/m-p/68929#M19754</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2009-01-13T17:05:39Z</dc:date>
    </item>
    <item>
      <title>Re: multiple imputation question - no variability across imputations?</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/multiple-imputation-question-no-variability-across-imputations/m-p/68930#M19755</link>
      <description>I too have had this issue, but I'm not sure what to do about it.  I can't generate a covariance matrix either when this happens, which makes mianalyze not work.</description>
      <pubDate>Tue, 29 Mar 2011 07:19:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/multiple-imputation-question-no-variability-across-imputations/m-p/68930#M19755</guid>
      <dc:creator>lamenramen</dc:creator>
      <dc:date>2011-03-29T07:19:03Z</dc:date>
    </item>
    <item>
      <title>Re: multiple imputation question - no variability across imputations?</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/multiple-imputation-question-no-variability-across-imputations/m-p/68931#M19756</link>
      <description>Hi,&lt;BR /&gt;
&lt;BR /&gt;
If you want to impute the missing values with mean or median or 0 or with any stats, you have to use Proc STDIZE procedure.The below is the example &lt;BR /&gt;
&lt;BR /&gt;
proc stdize data=abc method=median reponly;&lt;BR /&gt;
run;&lt;BR /&gt;
&lt;BR /&gt;
For missing values if we want to impute with zeroes then the example would be &lt;BR /&gt;
&lt;BR /&gt;
proc stdize data=abc missing=0 reponly;&lt;BR /&gt;
run;&lt;BR /&gt;
&lt;BR /&gt;
Kindly let me know if this useful or not.</description>
      <pubDate>Thu, 31 Mar 2011 19:38:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/multiple-imputation-question-no-variability-across-imputations/m-p/68931#M19756</guid>
      <dc:creator>Sekhar</dc:creator>
      <dc:date>2011-03-31T19:38:02Z</dc:date>
    </item>
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