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    <title>topic Re: Proc MIANALYZE in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-MIANALYZE/m-p/11671#M157</link>
    <description>I don't believe that there is any direct way to convert parameter estimates obtained from the MIANALYZE procedure into standardized parameter estimates.  However, you could use a process as described below to obtain standardized parameter estimates:&lt;BR /&gt;
&lt;BR /&gt;
1) impute data using PROC MI&lt;BR /&gt;
&lt;BR /&gt;
2) standardize the response and predictors to have mean 0 and variance 1 using PROC STANDARD&lt;BR /&gt;
&lt;BR /&gt;
3) fit the regression model to each of the standardized imputation data sets outputting parameter estimates and the covariance matrix of the parameter estimates.  Any of a number of procedures could be used for this step.&lt;BR /&gt;
&lt;BR /&gt;
4) Combine standardized regression coefficients from each imputation set into a single estimate of the standardized regression coefficients using PROC MI</description>
    <pubDate>Tue, 05 Oct 2010 19:40:30 GMT</pubDate>
    <dc:creator>Dale</dc:creator>
    <dc:date>2010-10-05T19:40:30Z</dc:date>
    <item>
      <title>Proc MIANALYZE</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-MIANALYZE/m-p/11670#M156</link>
      <description>Is there anyway I could get standardized estimates of the regression analysis output we get in Proc MIANALYZE ?&lt;BR /&gt;
&lt;BR /&gt;
or is there any formula that  I could use in a datastep with which I can indirectly get standardized coefficients?</description>
      <pubDate>Tue, 05 Oct 2010 13:38:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-MIANALYZE/m-p/11670#M156</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2010-10-05T13:38:58Z</dc:date>
    </item>
    <item>
      <title>Re: Proc MIANALYZE</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-MIANALYZE/m-p/11671#M157</link>
      <description>I don't believe that there is any direct way to convert parameter estimates obtained from the MIANALYZE procedure into standardized parameter estimates.  However, you could use a process as described below to obtain standardized parameter estimates:&lt;BR /&gt;
&lt;BR /&gt;
1) impute data using PROC MI&lt;BR /&gt;
&lt;BR /&gt;
2) standardize the response and predictors to have mean 0 and variance 1 using PROC STANDARD&lt;BR /&gt;
&lt;BR /&gt;
3) fit the regression model to each of the standardized imputation data sets outputting parameter estimates and the covariance matrix of the parameter estimates.  Any of a number of procedures could be used for this step.&lt;BR /&gt;
&lt;BR /&gt;
4) Combine standardized regression coefficients from each imputation set into a single estimate of the standardized regression coefficients using PROC MI</description>
      <pubDate>Tue, 05 Oct 2010 19:40:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-MIANALYZE/m-p/11671#M157</guid>
      <dc:creator>Dale</dc:creator>
      <dc:date>2010-10-05T19:40:30Z</dc:date>
    </item>
    <item>
      <title>Re: Proc MIANALYZE</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-MIANALYZE/m-p/11672#M158</link>
      <description>Does combining standardized regression coefficients mean I should take average of all the standardized estimates from the regression model of each imputation?&lt;BR /&gt;
&lt;BR /&gt;
&lt;BR /&gt;
Thanks,&lt;BR /&gt;
&lt;BR /&gt;
L</description>
      <pubDate>Wed, 06 Oct 2010 13:50:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-MIANALYZE/m-p/11672#M158</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2010-10-06T13:50:43Z</dc:date>
    </item>
    <item>
      <title>Re: Proc MIANALYZE</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-MIANALYZE/m-p/11673#M159</link>
      <description>Yes, that would be appropriate.</description>
      <pubDate>Wed, 06 Oct 2010 16:30:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-MIANALYZE/m-p/11673#M159</guid>
      <dc:creator>Dale</dc:creator>
      <dc:date>2010-10-06T16:30:03Z</dc:date>
    </item>
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