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    <title>topic Proc Logistic Estimates in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Proc-Logistic-Estimates/m-p/123533#M1037</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi all,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;After running a logistic regression i get the output containing the estimates for the scoring variables.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;My question is the following, how do i interpret the estimates of the continuous variables that i have used to someone? How can i show him the likelihood of an event based on that estimate?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;What does a 0.42 estimate for No Accounts tell me for a persons likelihood to be an event int he future?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanx ina advance&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 25 Oct 2013 08:49:48 GMT</pubDate>
    <dc:creator>chemicalab</dc:creator>
    <dc:date>2013-10-25T08:49:48Z</dc:date>
    <item>
      <title>Proc Logistic Estimates</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Proc-Logistic-Estimates/m-p/123533#M1037</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi all,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;After running a logistic regression i get the output containing the estimates for the scoring variables.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;My question is the following, how do i interpret the estimates of the continuous variables that i have used to someone? How can i show him the likelihood of an event based on that estimate?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;What does a 0.42 estimate for No Accounts tell me for a persons likelihood to be an event int he future?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanx ina advance&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 25 Oct 2013 08:49:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Proc-Logistic-Estimates/m-p/123533#M1037</guid>
      <dc:creator>chemicalab</dc:creator>
      <dc:date>2013-10-25T08:49:48Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Logistic Estimates</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Proc-Logistic-Estimates/m-p/123534#M1038</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Well, exponentiating the estimate would give an odds ratio, based on a one unit change.&amp;nbsp; So for each change in No Accounts of 1 unit, the odds of &amp;lt;insert response here&amp;gt; are roughly 1.5 times higher.&amp;nbsp; Is that what you are seeking?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 25 Oct 2013 13:54:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Proc-Logistic-Estimates/m-p/123534#M1038</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2013-10-25T13:54:54Z</dc:date>
    </item>
    <item>
      <title>Re: Proc Logistic Estimates</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Proc-Logistic-Estimates/m-p/123535#M1039</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello, Chemicalab,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here is link to SAS STAT user guide that has some details on how to interpret proc logistic. For more depth, check books written by Paul Allison. If you visit &lt;A href="http://www.lexjansen.com/"&gt;www.lexjansen.com&lt;/A&gt;, you can find many past proceedings covering the subject.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="http://support.sas.com/documentation/onlinedoc/stat/index.html"&gt;http://support.sas.com/documentation/onlinedoc/stat/index.html&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Best Regards&lt;/P&gt;&lt;P&gt;Jason Xin&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 30 Oct 2013 16:33:31 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Proc-Logistic-Estimates/m-p/123535#M1039</guid>
      <dc:creator>JasonXin</dc:creator>
      <dc:date>2013-10-30T16:33:31Z</dc:date>
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