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    <title>topic proc causalmed in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/proc-causalmed/m-p/806456#M39686</link>
    <description>&lt;P&gt;Greetings, I am working on survey data for my dissertation and I completely using SAS on demand studio for conducting my analyses. My main aim is to evaluate a mediational relationships. After reading different sources I found out that the best approach is to examine the indirect effect of the independent variable on the dependent variable via the mediator.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I read about the Proc Causalmed statement and tried to work on it. However, the statement does not look to be working with me. I cannot do anything with it and therefore cannot perform the procedure.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Another question is about the application of survey weights, strata, and clusters for the analysis. I am not sure if this is applicable or not?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Please I need your help to conduct the analysis and if there is another approach for a mediation analysis besides the Baron and Kenny approach (three regression models) that would be very helpful.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;</description>
    <pubDate>Thu, 07 Apr 2022 09:18:44 GMT</pubDate>
    <dc:creator>AbdulazizAbaoud</dc:creator>
    <dc:date>2022-04-07T09:18:44Z</dc:date>
    <item>
      <title>proc causalmed</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-causalmed/m-p/806456#M39686</link>
      <description>&lt;P&gt;Greetings, I am working on survey data for my dissertation and I completely using SAS on demand studio for conducting my analyses. My main aim is to evaluate a mediational relationships. After reading different sources I found out that the best approach is to examine the indirect effect of the independent variable on the dependent variable via the mediator.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I read about the Proc Causalmed statement and tried to work on it. However, the statement does not look to be working with me. I cannot do anything with it and therefore cannot perform the procedure.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Another question is about the application of survey weights, strata, and clusters for the analysis. I am not sure if this is applicable or not?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Please I need your help to conduct the analysis and if there is another approach for a mediation analysis besides the Baron and Kenny approach (three regression models) that would be very helpful.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;</description>
      <pubDate>Thu, 07 Apr 2022 09:18:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-causalmed/m-p/806456#M39686</guid>
      <dc:creator>AbdulazizAbaoud</dc:creator>
      <dc:date>2022-04-07T09:18:44Z</dc:date>
    </item>
    <item>
      <title>Re: proc causalmed</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-causalmed/m-p/806472#M39687</link>
      <description>&lt;P&gt;Hello &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/396046"&gt;@AbdulazizAbaoud&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Please submit :&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc causalmed; run;
&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;It should say this in the LOG (or something similar) :&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;1    proc causalmed; run;
NOTE: Writing HTML Body file: sashtml.htm
ERROR: There is not a default input data set (_LAST_ is _NULL_).

NOTE: The SAS System stopped processing this step because of errors.
NOTE: PROCEDURE CAUSALMED used (Total process time):
      real time           0.77 seconds
      cpu time            0.21 seconds&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;If that is what the LOG says, YOU CAN USE PROC CAUSALMED.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks,&lt;/P&gt;
&lt;P&gt;Koen&lt;/P&gt;</description>
      <pubDate>Thu, 07 Apr 2022 11:14:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-causalmed/m-p/806472#M39687</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2022-04-07T11:14:35Z</dc:date>
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