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    <title>topic Re: Logistic Regression Equation in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/Logistic-Regression-Equation/m-p/7717#M168</link>
    <description>proc logistic data=Neuralgia outmodel=sasuser.Model; &lt;BR /&gt;
      class Treatment Sex; &lt;BR /&gt;
      model Pain(event='Yes')= Treatment|Sex Age  &lt;BR /&gt;
            / selection=forward sle=.01; &lt;BR /&gt;
   run;&lt;BR /&gt;
&lt;BR /&gt;
&lt;BR /&gt;
&lt;BR /&gt;
Suppose Treatment and Age are the effects selected for the final model. You can score a data set which does not contain the variable Sex since the effect Sex is not in the model that the scoring is based on. &lt;BR /&gt;
&lt;BR /&gt;
&lt;BR /&gt;
 &lt;BR /&gt;
   proc logistic inmodel=sasuser.Model; &lt;BR /&gt;
      score data=Neuralgia(drop=Sex); &lt;BR /&gt;
   run;</description>
    <pubDate>Mon, 23 Jun 2008 19:16:17 GMT</pubDate>
    <dc:creator>deleted_user</dc:creator>
    <dc:date>2008-06-23T19:16:17Z</dc:date>
    <item>
      <title>Logistic Regression Equation</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Logistic-Regression-Equation/m-p/7716#M167</link>
      <description>Dumb question, but what to ensure I have the application correct. When I have run my logistic regression and am staisfied with the results, how do I turn this into an equation to determine probabilities on new data? Is it simply taking the coefficient times the variable(s)?</description>
      <pubDate>Thu, 27 Mar 2008 00:13:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Logistic-Regression-Equation/m-p/7716#M167</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2008-03-27T00:13:22Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic Regression Equation</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Logistic-Regression-Equation/m-p/7717#M168</link>
      <description>proc logistic data=Neuralgia outmodel=sasuser.Model; &lt;BR /&gt;
      class Treatment Sex; &lt;BR /&gt;
      model Pain(event='Yes')= Treatment|Sex Age  &lt;BR /&gt;
            / selection=forward sle=.01; &lt;BR /&gt;
   run;&lt;BR /&gt;
&lt;BR /&gt;
&lt;BR /&gt;
&lt;BR /&gt;
Suppose Treatment and Age are the effects selected for the final model. You can score a data set which does not contain the variable Sex since the effect Sex is not in the model that the scoring is based on. &lt;BR /&gt;
&lt;BR /&gt;
&lt;BR /&gt;
 &lt;BR /&gt;
   proc logistic inmodel=sasuser.Model; &lt;BR /&gt;
      score data=Neuralgia(drop=Sex); &lt;BR /&gt;
   run;</description>
      <pubDate>Mon, 23 Jun 2008 19:16:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Logistic-Regression-Equation/m-p/7717#M168</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2008-06-23T19:16:17Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic Regression Equation</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Logistic-Regression-Equation/m-p/7718#M169</link>
      <description>The Score statement in only valid in SAS 9.&lt;BR /&gt;
For previous release, you can compute probabilites as :&lt;BR /&gt;
1 / (1 + EXP(-1 * (coefficients * variables )))&lt;BR /&gt;
&lt;BR /&gt;
(If you used a LOGIT link, of course.)&lt;BR /&gt;
&lt;BR /&gt;
Regards&lt;BR /&gt;
Olivier</description>
      <pubDate>Tue, 24 Jun 2008 06:59:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Logistic-Regression-Equation/m-p/7718#M169</guid>
      <dc:creator>Olivier</dc:creator>
      <dc:date>2008-06-24T06:59:53Z</dc:date>
    </item>
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