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    <title>topic Re: how to get pooled median and q1 and q3 using Proc mianalyze in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/how-to-get-pooled-median-and-q1-and-q3-using-Proc-mianalyze/m-p/961350#M48157</link>
    <description>&lt;P&gt;Thanks! So I need to use proc quantreg to get the standard error to each quantile and then use proc mianalyze to get the pooled q1 and q3.&lt;/P&gt;</description>
    <pubDate>Sun, 09 Mar 2025 17:22:42 GMT</pubDate>
    <dc:creator>jojo</dc:creator>
    <dc:date>2025-03-09T17:22:42Z</dc:date>
    <item>
      <title>how to get pooled median and q1 and q3 using Proc mianalyze</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/how-to-get-pooled-median-and-q1-and-q3-using-Proc-mianalyze/m-p/960919#M48130</link>
      <description>&lt;P&gt;after proc means procedure by imputation based on 50 imputed dataset, I need to get the pooled results for means, median, q1, q3 from proc mianalyze. Is the following code correct? e.g. use the same standard error for mean, q1, q3.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc mianalyze data= ccc;&lt;/P&gt;
&lt;P&gt;by treatment;&lt;/P&gt;
&lt;P&gt;modeleffects mean_val q1_val q3_avl;&lt;/P&gt;
&lt;P&gt;stderr&amp;nbsp; std_val std_val std_val;&lt;/P&gt;
&lt;P&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 05 Mar 2025 07:19:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/how-to-get-pooled-median-and-q1-and-q3-using-Proc-mianalyze/m-p/960919#M48130</guid>
      <dc:creator>jojo</dc:creator>
      <dc:date>2025-03-05T07:19:09Z</dc:date>
    </item>
    <item>
      <title>Re: how to get pooled median and q1 and q3 using Proc mianalyze</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/how-to-get-pooled-median-and-q1-and-q3-using-Proc-mianalyze/m-p/960923#M48131</link>
      <description>&lt;P&gt;Nope.&lt;/P&gt;
&lt;P&gt;Different quantile have different stderr.&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data Orig;   /* restrict to 5000 births; exclude extreme weight gains */
set Sashelp.BWeight(obs=5000 where=(MomWtGain&amp;lt;=40));
run;

title;
ods noproctitle;
ods select  ParameterEstimates;
proc quantreg data=Orig ci=sparsity; 
   model Weight =   / quantile = 0.25 0.5 0.75;
run;

&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Ksharp_1-1741162825233.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/105162i30EFA095379FBAC1/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Ksharp_1-1741162825233.png" alt="Ksharp_1-1741162825233.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 05 Mar 2025 08:20:39 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/how-to-get-pooled-median-and-q1-and-q3-using-Proc-mianalyze/m-p/960923#M48131</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2025-03-05T08:20:39Z</dc:date>
    </item>
    <item>
      <title>Re: how to get pooled median and q1 and q3 using Proc mianalyze</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/how-to-get-pooled-median-and-q1-and-q3-using-Proc-mianalyze/m-p/961350#M48157</link>
      <description>&lt;P&gt;Thanks! So I need to use proc quantreg to get the standard error to each quantile and then use proc mianalyze to get the pooled q1 and q3.&lt;/P&gt;</description>
      <pubDate>Sun, 09 Mar 2025 17:22:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/how-to-get-pooled-median-and-q1-and-q3-using-Proc-mianalyze/m-p/961350#M48157</guid>
      <dc:creator>jojo</dc:creator>
      <dc:date>2025-03-09T17:22:42Z</dc:date>
    </item>
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