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    <title>topic Logistic regression in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression/m-p/642110#M30713</link>
    <description>&lt;P&gt;hello,&lt;/P&gt;
&lt;P&gt;please how write Logistic regression without specifying the variable selection method ?&lt;/P&gt;
&lt;P&gt;thanks.&lt;/P&gt;</description>
    <pubDate>Wed, 22 Apr 2020 22:30:54 GMT</pubDate>
    <dc:creator>ks94</dc:creator>
    <dc:date>2020-04-22T22:30:54Z</dc:date>
    <item>
      <title>Logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression/m-p/642110#M30713</link>
      <description>&lt;P&gt;hello,&lt;/P&gt;
&lt;P&gt;please how write Logistic regression without specifying the variable selection method ?&lt;/P&gt;
&lt;P&gt;thanks.&lt;/P&gt;</description>
      <pubDate>Wed, 22 Apr 2020 22:30:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression/m-p/642110#M30713</guid>
      <dc:creator>ks94</dc:creator>
      <dc:date>2020-04-22T22:30:54Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression/m-p/642135#M30714</link>
      <description>&lt;P&gt;List the variables you want on the model statement.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Dummy example code:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;model result = variable1 variable2 variable3 ;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 23 Apr 2020 00:28:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression/m-p/642135#M30714</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2020-04-23T00:28:09Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression/m-p/642193#M30720</link>
      <description>&lt;P&gt;Thanks for your answer. Between my variables ;there are numeric and character variables ,so when i try this :&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;PROC logistic data=africa descending ;&lt;BR /&gt;&lt;BR /&gt;model FLAG_CRISE_SYSTEMIQUE(event="1")=FLAG_CRISE_SYSTEMIQUE&lt;BR /&gt;TAUX_CHANGE_USD TOTAL_DETTE_PIB TAUX_INFLATION &lt;BR /&gt;FLAG_CRISE_INFLATION FLAG_DETTE_INTERIEURE&lt;BR /&gt;PAYS FLAG_DETTE_EXTERIEURE&lt;BR /&gt;FLAG_INDEPENDANCE FLAG_CRISE_MONETAIRE FLAG_CRISE_BANCAIRE;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I've an error message , which required numeric variable or i must &lt;SPAN&gt;specified in the CLASS statement.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;But my purpose&amp;nbsp;is that I want to use this method to recognize my significant variables between the differents variables... my target variable is&amp;nbsp; FLAG_CRISE_SYSTEMIQUE.&lt;/P&gt;
&lt;P&gt;I hope you understand my problem ?&lt;/P&gt;</description>
      <pubDate>Thu, 23 Apr 2020 10:05:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression/m-p/642193#M30720</guid>
      <dc:creator>ks94</dc:creator>
      <dc:date>2020-04-23T10:05:35Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression/m-p/642208#M30723</link>
      <description>&lt;P&gt;thank&amp;nbsp;&lt;/P&gt;
&lt;P&gt;i found the solution to my problem with the code bellow:&lt;/P&gt;
&lt;P&gt;proc logistic data=africa;&lt;BR /&gt;class FLAG_DETTE_INTERIEURE(param=ref ref='1') FLAG_DETTE_EXTERIEURE(param=ref ref='1') FLAG_INDEPENDANCE(param=ref ref='1') FLAG_CRISE_MONETAIRE(param=ref ref='1') FLAG_CRISE_INFLATION(param=ref ref='1');&lt;BR /&gt;model FLAG_CRISE_SYSTEMIQUE(event="1") = ANNEE TAUX_CHANGE_USD TOTAL_DETTE_PIB TAUX_INFLATION FLAG_DETTE_INTERIEURE FLAG_DETTE_EXTERIEURE FLAG_INDEPENDANCE FLAG_CRISE_MONETAIRE FLAG_CRISE_INFLATION;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;the variables which are Pr&amp;gt;khi-2 &amp;lt;0.05 are my significant variables.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 23 Apr 2020 11:46:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression/m-p/642208#M30723</guid>
      <dc:creator>ks94</dc:creator>
      <dc:date>2020-04-23T11:46:58Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression/m-p/642210#M30724</link>
      <description>&lt;P&gt;Which of the variables are not continuous?&amp;nbsp; Put those in a class statement and add /PARAM=GLM after the variable list.&amp;nbsp; Add /SOLUTION to the MODEL statement.&lt;/P&gt;
&lt;P&gt;You should then get a Type 3 table of tests for the variables. In particular, there will be a test for the main effect of&amp;nbsp;&lt;SPAN&gt;FLAG_CRISE_SYSTEMIQUE.&amp;nbsp; I hope this makes sense.&amp;nbsp; If not, please post your code and any part of the log that outlines ERRORs or WARNINGs.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;SteveDenham&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 23 Apr 2020 11:57:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression/m-p/642210#M30724</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2020-04-23T11:57:29Z</dc:date>
    </item>
    <item>
      <title>Re: Logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression/m-p/642212#M30725</link>
      <description>I guess I was a bit late in my suggestion.  You seem to have solved the problem.&lt;BR /&gt;&lt;BR /&gt;SteveDenham</description>
      <pubDate>Thu, 23 Apr 2020 11:58:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Logistic-regression/m-p/642212#M30725</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2020-04-23T11:58:50Z</dc:date>
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