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    <title>topic Re: Proc mianalyze WARNING &amp;quot;Between-imputation variance is zero for variable&amp;quot; in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mianalyze-WARNING-quot-Between-imputation-variance-is-zero/m-p/685705#M33031</link>
    <description>&lt;P&gt;As I mentioned above there isn't necessarily a fix for this since all of the estimates across the imputed data sets are indentical.&amp;nbsp; That being said, it can sometimes be an indication that the imputation model itself is wrong or omitted a key variable.&amp;nbsp; I would go back and make sure that any related variables in the analyst's model is included in the imputation model.&lt;/P&gt;</description>
    <pubDate>Tue, 22 Sep 2020 14:17:09 GMT</pubDate>
    <dc:creator>SAS_Rob</dc:creator>
    <dc:date>2020-09-22T14:17:09Z</dc:date>
    <item>
      <title>Proc mianalyze WARNING "Between-imputation variance is zero for variable"</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mianalyze-WARNING-quot-Between-imputation-variance-is-zero/m-p/564415#M27834</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;I use the PROC MIANALYZE to obtain summary statistics but I have a warning message "Between-imputation variance is zero for variable". So, I don't have confidence interval. I would like to know if the standard error of the mean was correct or not ?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Here my code :&lt;/P&gt;&lt;P&gt;proc univariate data=mimpute noprint;&lt;BR /&gt;var LB_BIFIDO_OLDnumconvert;&lt;BR /&gt;output out=mimpute_uni mean=LB_BIFIDO_OLDnumconvert&lt;BR /&gt;stderr=SLB_BIFIDO_OLDnumconvert;&lt;BR /&gt;by _Imputation_ ;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;proc mianalyze data=mimpute_uni ;&lt;BR /&gt;modeleffects LB_BIFIDO_OLDnumconvert;&lt;BR /&gt;stderr SLB_BIFIDO_OLDnumconvert;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;And I obtain :&amp;nbsp;&lt;/P&gt;&lt;DIV class="branch"&gt;&lt;DIV align="center"&gt;Parameter Estimate Std Error 95%&amp;nbsp;Confidence&amp;nbsp;Limits DF Minimum Maximum Theta0 t for H0 Pr&amp;nbsp;&amp;gt;&amp;nbsp;|t| &lt;TABLE cellspacing="0" cellpadding="5"&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD&gt;8906410753&lt;/TD&gt;&lt;TD&gt;1049291539&lt;/TD&gt;&lt;TD&gt;.&lt;/TD&gt;&lt;TD&gt;.&lt;/TD&gt;&lt;TD&gt;.&lt;/TD&gt;&lt;TD&gt;8906410552&lt;/TD&gt;&lt;TD&gt;8906410954&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;.&lt;/TD&gt;&lt;TD&gt;&lt;P&gt;.&lt;/P&gt;&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks for your anwser&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Clémence&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</description>
      <pubDate>Fri, 07 Jun 2019 09:29:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mianalyze-WARNING-quot-Between-imputation-variance-is-zero/m-p/564415#M27834</guid>
      <dc:creator>Clemence</dc:creator>
      <dc:date>2019-06-07T09:29:19Z</dc:date>
    </item>
    <item>
      <title>Re: Proc mianalyze WARNING "Between-imputation variance is zero for variable"</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mianalyze-WARNING-quot-Between-imputation-variance-is-zero/m-p/564435#M27845</link>
      <description>&lt;P&gt;&lt;SPAN&gt;When the between imputation variance is zero then the number of Degrees of Freedom is undefined so you cannot get a confidence interval or p-values.&amp;nbsp;&lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;Unfortunately, there is not a good approach to take in this case. This is one of the limitations of multiple imputation in general. I have not seen any suggestions in the multiple imputation literature about this issue.&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;The standard error that is reported is correct however.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 07 Jun 2019 11:43:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mianalyze-WARNING-quot-Between-imputation-variance-is-zero/m-p/564435#M27845</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2019-06-07T11:43:22Z</dc:date>
    </item>
    <item>
      <title>Re: Proc mianalyze WARNING "Between-imputation variance is zero for variable"</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mianalyze-WARNING-quot-Between-imputation-variance-is-zero/m-p/564441#M27846</link>
      <description>&lt;P&gt;Ok, thank you for your answer.&amp;nbsp;&lt;/P&gt;&lt;P&gt;Clémence&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 07 Jun 2019 12:14:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mianalyze-WARNING-quot-Between-imputation-variance-is-zero/m-p/564441#M27846</guid>
      <dc:creator>Clemence</dc:creator>
      <dc:date>2019-06-07T12:14:38Z</dc:date>
    </item>
    <item>
      <title>Re: Proc mianalyze WARNING "Between-imputation variance is zero for variable"</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mianalyze-WARNING-quot-Between-imputation-variance-is-zero/m-p/685695#M33030</link>
      <description>&lt;P&gt;Hi Clemence,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;did you resolve your issue? If so, Please share how did you handle this, I am having the same issue when I execute below program.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;proc mianalyze data=abc;&lt;BR /&gt;modeleffects logrr;&lt;BR /&gt;stderr selogrr;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;WARNING: Between-imputation variance is zero for variable logrr.&lt;/P&gt;</description>
      <pubDate>Tue, 22 Sep 2020 13:54:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mianalyze-WARNING-quot-Between-imputation-variance-is-zero/m-p/685695#M33030</guid>
      <dc:creator>kan007</dc:creator>
      <dc:date>2020-09-22T13:54:24Z</dc:date>
    </item>
    <item>
      <title>Re: Proc mianalyze WARNING "Between-imputation variance is zero for variable"</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mianalyze-WARNING-quot-Between-imputation-variance-is-zero/m-p/685705#M33031</link>
      <description>&lt;P&gt;As I mentioned above there isn't necessarily a fix for this since all of the estimates across the imputed data sets are indentical.&amp;nbsp; That being said, it can sometimes be an indication that the imputation model itself is wrong or omitted a key variable.&amp;nbsp; I would go back and make sure that any related variables in the analyst's model is included in the imputation model.&lt;/P&gt;</description>
      <pubDate>Tue, 22 Sep 2020 14:17:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mianalyze-WARNING-quot-Between-imputation-variance-is-zero/m-p/685705#M33031</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2020-09-22T14:17:09Z</dc:date>
    </item>
    <item>
      <title>Re: Proc mianalyze WARNING "Between-imputation variance is zero for variable"</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mianalyze-WARNING-quot-Between-imputation-variance-is-zero/m-p/686214#M33049</link>
      <description>&lt;P&gt;I get your point.&amp;nbsp;thanks Rob for quick reply.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 23 Sep 2020 20:55:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mianalyze-WARNING-quot-Between-imputation-variance-is-zero/m-p/686214#M33049</guid>
      <dc:creator>kan007</dc:creator>
      <dc:date>2020-09-23T20:55:13Z</dc:date>
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