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    <title>topic Re: Pre and Post Test Regression Help in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Pre-and-Post-Test-Regression-Help/m-p/593212#M170206</link>
    <description>&lt;P&gt;17 data points and 6 interventions? You'd need almost zero noise to be able to determine any effects, or perhaps one intervention with a very strong effect and the rest with almost no effect. I'm not optimistic that you will make anything of this data.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;However,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc logistic data=mydata;
    class intervention1-intervention6;
    model overall_improvement=intervention1-intervention6;
run;
&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;Good luck.&lt;/P&gt;</description>
    <pubDate>Tue, 01 Oct 2019 21:17:13 GMT</pubDate>
    <dc:creator>PaigeMiller</dc:creator>
    <dc:date>2019-10-01T21:17:13Z</dc:date>
    <item>
      <title>Pre and Post Test Regression Help</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Pre-and-Post-Test-Regression-Help/m-p/593210#M170204</link>
      <description>&lt;P&gt;Hello!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am looking for some assistance in analyzing my data:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;One group (n=17), all received 6 interventions and scores were collected PRE and POST intervention. I am interested in seeing the relationship between all 6 interventions in how this helped improve overall well-being for the client. I was thinking my dependant variable could be 'Overall Improvement' (Binary Y/N) and the predictors would be each intervention, but I am confused about the pre and post scores and how to put that into a regression analysis in SAS.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Any advice or help would be greatly appreciated !&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 01 Oct 2019 21:00:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Pre-and-Post-Test-Regression-Help/m-p/593210#M170204</guid>
      <dc:creator>mqdri</dc:creator>
      <dc:date>2019-10-01T21:00:26Z</dc:date>
    </item>
    <item>
      <title>Re: Pre and Post Test Regression Help</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Pre-and-Post-Test-Regression-Help/m-p/593212#M170206</link>
      <description>&lt;P&gt;17 data points and 6 interventions? You'd need almost zero noise to be able to determine any effects, or perhaps one intervention with a very strong effect and the rest with almost no effect. I'm not optimistic that you will make anything of this data.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;However,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc logistic data=mydata;
    class intervention1-intervention6;
    model overall_improvement=intervention1-intervention6;
run;
&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;Good luck.&lt;/P&gt;</description>
      <pubDate>Tue, 01 Oct 2019 21:17:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Pre-and-Post-Test-Regression-Help/m-p/593212#M170206</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2019-10-01T21:17:13Z</dc:date>
    </item>
    <item>
      <title>Re: Pre and Post Test Regression Help</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Pre-and-Post-Test-Regression-Help/m-p/593379#M170277</link>
      <description>&lt;P&gt;Thank you Paige! I am going to try this now and see how it goes. PS. I know, the small sample size is really unfortunate&lt;/P&gt;</description>
      <pubDate>Wed, 02 Oct 2019 14:12:04 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Pre-and-Post-Test-Regression-Help/m-p/593379#M170277</guid>
      <dc:creator>mqdri</dc:creator>
      <dc:date>2019-10-02T14:12:04Z</dc:date>
    </item>
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