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    <title>topic Re: p-values from ODDSRATIO statement in PROC LOGISTIC in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/p-values-from-ODDSRATIO-statement-in-PROC-LOGISTIC/m-p/34666#M1442</link>
    <description>While the ODDSRATIO statement in LOGISTIC does not provide p-values, you could fit the same model in PROC GLIMMIX and use the ODDRATIO and SLICEDIFF= options to get the p-values.  For details and an example, see this usage note:&lt;BR /&gt;
&lt;BR /&gt;
   &lt;A href="http://support.sas.com/kb/24455" target="_blank"&gt;http://support.sas.com/kb/24455&lt;/A&gt;</description>
    <pubDate>Fri, 15 Jan 2010 19:37:48 GMT</pubDate>
    <dc:creator>StatDave</dc:creator>
    <dc:date>2010-01-15T19:37:48Z</dc:date>
    <item>
      <title>p-values from ODDSRATIO statement in PROC LOGISTIC</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/p-values-from-ODDSRATIO-statement-in-PROC-LOGISTIC/m-p/34664#M1440</link>
      <description>Hi Folks - &lt;BR /&gt;
&lt;BR /&gt;
I have a proc logistic model with an interaction term between a binary variable and a continuous variable.  I'm successfully using the ODDSRATIO statement to have SAS calculate the OR and 95% CIs for the continuous variable at the two different levels of the binary variable.  &lt;BR /&gt;
&lt;BR /&gt;
How can I get SAS to give me (or how can I easily calculate)  the p-value associated with these ORs?&lt;BR /&gt;
&lt;BR /&gt;
Thanks a bunch!!</description>
      <pubDate>Thu, 24 Dec 2009 15:02:14 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/p-values-from-ODDSRATIO-statement-in-PROC-LOGISTIC/m-p/34664#M1440</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2009-12-24T15:02:14Z</dc:date>
    </item>
    <item>
      <title>Re: p-values from ODDSRATIO statement in PROC LOGISTIC</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/p-values-from-ODDSRATIO-statement-in-PROC-LOGISTIC/m-p/34665#M1441</link>
      <description>See my paper&lt;BR /&gt;
&lt;A href="http://www.biostat.umn.edu/~will/6470stuff/Class22/proc%20logistic%20traps.pdf" target="_blank"&gt;http://www.biostat.umn.edu/~will/6470stuff/Class22/proc%20logistic%20traps.pdf&lt;/A&gt;&lt;BR /&gt;
&lt;BR /&gt;
Given at NESUG&lt;BR /&gt;
&lt;BR /&gt;
This is gotcha #5 &lt;BR /&gt;
&lt;BR /&gt;
Peter</description>
      <pubDate>Sun, 27 Dec 2009 23:31:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/p-values-from-ODDSRATIO-statement-in-PROC-LOGISTIC/m-p/34665#M1441</guid>
      <dc:creator>plf515</dc:creator>
      <dc:date>2009-12-27T23:31:08Z</dc:date>
    </item>
    <item>
      <title>Re: p-values from ODDSRATIO statement in PROC LOGISTIC</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/p-values-from-ODDSRATIO-statement-in-PROC-LOGISTIC/m-p/34666#M1442</link>
      <description>While the ODDSRATIO statement in LOGISTIC does not provide p-values, you could fit the same model in PROC GLIMMIX and use the ODDRATIO and SLICEDIFF= options to get the p-values.  For details and an example, see this usage note:&lt;BR /&gt;
&lt;BR /&gt;
   &lt;A href="http://support.sas.com/kb/24455" target="_blank"&gt;http://support.sas.com/kb/24455&lt;/A&gt;</description>
      <pubDate>Fri, 15 Jan 2010 19:37:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/p-values-from-ODDSRATIO-statement-in-PROC-LOGISTIC/m-p/34666#M1442</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2010-01-15T19:37:48Z</dc:date>
    </item>
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