<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Question about parameters in a logistic regression in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Question-about-parameters-in-a-logistic-regression/m-p/362197#M19042</link>
    <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have two questions about the procedure proc logistic:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;1) When is recommended to use crossing effects?, I refer to the case of including the product of two input vars( var1*var2) in the model. Example:&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc logistic data=test outmodel=modelo2 plots(only)=roc;
class cod_posicion nivel_sal rango_edad rango_ant rango_eval;
model baja = rango_edad rango_ant nivel_sal rango_eval cod_posicion
			rango_edad*rango_ant rango_edad*nivel_sal rango_edad*rango_ant;
quit;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;I think is recommended when there is a correlation between the varis, isn't it?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;2) Haw can I do a regularizarion in logistoc regression usind proc logistic. I mean regularizaton methods like&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Ridge, Lasso y Elastic Net.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Any advice will be greatly appreciated&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks in advance&lt;/P&gt;</description>
    <pubDate>Sat, 27 May 2017 16:23:23 GMT</pubDate>
    <dc:creator>juanvg1972</dc:creator>
    <dc:date>2017-05-27T16:23:23Z</dc:date>
    <item>
      <title>Question about parameters in a logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Question-about-parameters-in-a-logistic-regression/m-p/362197#M19042</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have two questions about the procedure proc logistic:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;1) When is recommended to use crossing effects?, I refer to the case of including the product of two input vars( var1*var2) in the model. Example:&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc logistic data=test outmodel=modelo2 plots(only)=roc;
class cod_posicion nivel_sal rango_edad rango_ant rango_eval;
model baja = rango_edad rango_ant nivel_sal rango_eval cod_posicion
			rango_edad*rango_ant rango_edad*nivel_sal rango_edad*rango_ant;
quit;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;I think is recommended when there is a correlation between the varis, isn't it?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;2) Haw can I do a regularizarion in logistoc regression usind proc logistic. I mean regularizaton methods like&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Ridge, Lasso y Elastic Net.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Any advice will be greatly appreciated&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks in advance&lt;/P&gt;</description>
      <pubDate>Sat, 27 May 2017 16:23:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Question-about-parameters-in-a-logistic-regression/m-p/362197#M19042</guid>
      <dc:creator>juanvg1972</dc:creator>
      <dc:date>2017-05-27T16:23:23Z</dc:date>
    </item>
    <item>
      <title>Re: Question about parameters in a logistic regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Question-about-parameters-in-a-logistic-regression/m-p/362259#M19052</link>
      <description>&lt;P&gt;1) when the combination of these two variable are significant .&lt;/P&gt;
&lt;P&gt;E.X.&lt;/P&gt;
&lt;P&gt;sex=F is significant for Y&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;age=20 is significant for Y&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;sex=F and&amp;nbsp;&lt;SPAN&gt;age=20 is also significant for Y&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;2) PROC HPGENSELECT&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Sun, 28 May 2017 03:48:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Question-about-parameters-in-a-logistic-regression/m-p/362259#M19052</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2017-05-28T03:48:19Z</dc:date>
    </item>
  </channel>
</rss>

