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    <title>topic Re: regression model in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/regression-model/m-p/736576#M35771</link>
    <description>PROC LOGISTIC is for dichotomous response variables by default. If A is a continuous variable, you might want to use PROC REG. &lt;BR /&gt;proc reg data=Dataset;&lt;BR /&gt;Model a= b c;&lt;BR /&gt;Run;&lt;BR /&gt;Quit;&lt;BR /&gt;</description>
    <pubDate>Fri, 23 Apr 2021 11:20:56 GMT</pubDate>
    <dc:creator>jiltao</dc:creator>
    <dc:date>2021-04-23T11:20:56Z</dc:date>
    <item>
      <title>regression model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/regression-model/m-p/736554#M35769</link>
      <description>&lt;P&gt;I will like to perform the following on sas.&lt;/P&gt;&lt;P&gt;I want to run a regression model of A with B, adjusted for C. A is a continous variable, B is a risk factor e.g. BP, BMI etc. C is age.&lt;/P&gt;&lt;P&gt;I tried this but didnt quite get it;&lt;/P&gt;&lt;P&gt;&lt;FONT face="Courier New" size="2" color="#000080"&gt;&lt;STRONG&gt;proc&lt;/STRONG&gt;&lt;/FONT&gt; &lt;STRONG&gt;&lt;FONT face="Courier New" size="2" color="#000080"&gt;logistic&lt;/FONT&gt;&lt;/STRONG&gt; &lt;FONT face="Courier New" size="2" color="#0000ff"&gt;data&lt;/FONT&gt;&lt;FONT face="Courier New" size="2"&gt; = DATASET &lt;/FONT&gt;&lt;FONT face="Courier New" size="2" color="#0000ff"&gt;outmodel&lt;/FONT&gt;&lt;FONT face="Courier New" size="2"&gt;=test1;&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT face="Courier New" size="2" color="#0000ff"&gt;model&lt;/FONT&gt;&lt;FONT face="Courier New" size="2"&gt;&amp;nbsp;A = C|B;&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT face="Courier New" size="2" color="#000080"&gt;&lt;STRONG&gt;run&lt;/STRONG&gt;&lt;/FONT&gt;&lt;FONT face="Courier New" size="2"&gt;;&lt;/FONT&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 23 Apr 2021 07:23:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/regression-model/m-p/736554#M35769</guid>
      <dc:creator>CathyVI</dc:creator>
      <dc:date>2021-04-23T07:23:54Z</dc:date>
    </item>
    <item>
      <title>Re: regression model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/regression-model/m-p/736570#M35770</link>
      <description>&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc glm data=dataset;
    model a = c|b;
run; quit;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;It's not clear to me what you are trying to do with OUTMODEL= in your original code.&lt;/P&gt;</description>
      <pubDate>Fri, 23 Apr 2021 10:12:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/regression-model/m-p/736570#M35770</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2021-04-23T10:12:29Z</dc:date>
    </item>
    <item>
      <title>Re: regression model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/regression-model/m-p/736576#M35771</link>
      <description>PROC LOGISTIC is for dichotomous response variables by default. If A is a continuous variable, you might want to use PROC REG. &lt;BR /&gt;proc reg data=Dataset;&lt;BR /&gt;Model a= b c;&lt;BR /&gt;Run;&lt;BR /&gt;Quit;&lt;BR /&gt;</description>
      <pubDate>Fri, 23 Apr 2021 11:20:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/regression-model/m-p/736576#M35771</guid>
      <dc:creator>jiltao</dc:creator>
      <dc:date>2021-04-23T11:20:56Z</dc:date>
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