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    <title>topic Re: Proc RobustReg - standard errors in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-RobustReg-standard-errors/m-p/968741#M48706</link>
    <description>&lt;P&gt;ROBUSTREG does not supply LSMeans.&lt;/P&gt;
&lt;P&gt;Since it is using GLM coding and you only have one CLASS variable and a single covariate, the estimate for the intercept is the adjusted mean value for the second treatment arm.&lt;/P&gt;</description>
    <pubDate>Wed, 11 Jun 2025 12:46:13 GMT</pubDate>
    <dc:creator>SAS_Rob</dc:creator>
    <dc:date>2025-06-11T12:46:13Z</dc:date>
    <item>
      <title>Proc RobustReg - standard errors</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-RobustReg-standard-errors/m-p/968665#M48696</link>
      <description>&lt;P&gt;Hi all,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I want to use proc robust in my analysis for treatment effect; however, i can not find out how to output standard errors into table. Specially when proc robustreg used during multiple imputation process. Can anyone help?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you&lt;/P&gt;</description>
      <pubDate>Tue, 10 Jun 2025 16:19:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-RobustReg-standard-errors/m-p/968665#M48696</guid>
      <dc:creator>VioletaB</dc:creator>
      <dc:date>2025-06-10T16:19:00Z</dc:date>
    </item>
    <item>
      <title>Re: Proc RobustReg - standard errors</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-RobustReg-standard-errors/m-p/968666#M48697</link>
      <description>&lt;P&gt;Example:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc robustreg data=sashelp.class;
    ods output parameterestimates = paramestimates;
    model weight=height;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Tue, 10 Jun 2025 16:40:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-RobustReg-standard-errors/m-p/968666#M48697</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2025-06-10T16:40:52Z</dc:date>
    </item>
    <item>
      <title>Re: Proc RobustReg - standard errors</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-RobustReg-standard-errors/m-p/968674#M48699</link>
      <description>&lt;P&gt;The example below shows the syntax necessary to combine results from ROBUSTREG in MIANALYZE.&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;

 
/*Assume the imputation is already done*/
data a (drop=i);
do _imputation_=1 to 25;
do i=1 to 1000;
do trt=1 to 3;

x1=rannor(1234);
x2=rannor(1234);
e=rannor(1234);

      if i &amp;gt; 900 then y=100 + e;
      else y=10 + 5*x1 + 3*x2 + .5 * e;
output;
end;
end;
end;
run;

proc robustreg data=a method=m(wf=huber);
by _imputation_;
class trt;
model y = x1 x2 trt;
ods output parameterestimates=parms;
run;

proc mianalyze parms(classvar=level)=parms;
class trt;
modeleffects intercept x1 x2 trt;
run;

 

 
&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Tue, 10 Jun 2025 17:47:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-RobustReg-standard-errors/m-p/968674#M48699</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2025-06-10T17:47:29Z</dc:date>
    </item>
    <item>
      <title>Re: Proc RobustReg - standard errors</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-RobustReg-standard-errors/m-p/968697#M48700</link>
      <description>&lt;P&gt;Thanks for this. This helps, however, this is first time i use robustreg.&amp;nbsp; The code provide only estimate for one of treatment arm; is were a way to get those for both treatment arms and then a comparison like you would get using proc mixed?&lt;/P&gt;</description>
      <pubDate>Tue, 10 Jun 2025 21:47:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-RobustReg-standard-errors/m-p/968697#M48700</guid>
      <dc:creator>VioletaB</dc:creator>
      <dc:date>2025-06-10T21:47:25Z</dc:date>
    </item>
    <item>
      <title>Re: Proc RobustReg - standard errors</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-RobustReg-standard-errors/m-p/968699#M48701</link>
      <description>&lt;P&gt;It would be helpful if you could post your ROBUSTREG code.&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 10 Jun 2025 21:50:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-RobustReg-standard-errors/m-p/968699#M48701</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2025-06-10T21:50:15Z</dc:date>
    </item>
    <item>
      <title>Re: Proc RobustReg - standard errors</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-RobustReg-standard-errors/m-p/968734#M48705</link>
      <description>&lt;P&gt;Pro sort data=imp_24;by _imputation_;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;proc robustreg data=imp_24 method=m (wf=huber);&lt;/P&gt;&lt;P&gt;by _imputation_;&lt;/P&gt;&lt;P&gt;class trt;&lt;/P&gt;&lt;P&gt;model ratio=base trt;&lt;/P&gt;&lt;P&gt;ods output parameterstimates=parms;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;proc mianalyze [arms (classvar=level)=parms;&lt;/P&gt;&lt;P&gt;class trt;&lt;/P&gt;&lt;P&gt;modeleffects intercept base trt;&lt;/P&gt;&lt;P&gt;ods output parameterstomates=mi;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Ratio and base are continuous variables and trt has 2 levels: 1,2.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;it provides only information for one treatment arm. Can we get from proc robustreg similar results as we get from proc mixed: LSmeans for each treatment arm and then a comparison.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 11 Jun 2025 07:07:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-RobustReg-standard-errors/m-p/968734#M48705</guid>
      <dc:creator>VioletaB</dc:creator>
      <dc:date>2025-06-11T07:07:53Z</dc:date>
    </item>
    <item>
      <title>Re: Proc RobustReg - standard errors</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-RobustReg-standard-errors/m-p/968741#M48706</link>
      <description>&lt;P&gt;ROBUSTREG does not supply LSMeans.&lt;/P&gt;
&lt;P&gt;Since it is using GLM coding and you only have one CLASS variable and a single covariate, the estimate for the intercept is the adjusted mean value for the second treatment arm.&lt;/P&gt;</description>
      <pubDate>Wed, 11 Jun 2025 12:46:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-RobustReg-standard-errors/m-p/968741#M48706</guid>
      <dc:creator>SAS_Rob</dc:creator>
      <dc:date>2025-06-11T12:46:13Z</dc:date>
    </item>
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