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    <title>topic Re: Odds ratio in logistic regression on rare even in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Odds-ratio-in-logistic-regression-on-rare-even/m-p/336344#M17733</link>
    <description>&lt;P&gt;Since you describe a 2x2 table, you could avoid fitting a model altogether and simply use PROC FREQ and request an exact estimate of the odds ratio with the EXACT OR; statement.&lt;/P&gt;</description>
    <pubDate>Mon, 27 Feb 2017 21:07:33 GMT</pubDate>
    <dc:creator>StatDave</dc:creator>
    <dc:date>2017-02-27T21:07:33Z</dc:date>
    <item>
      <title>Odds ratio in logistic regression on rare even</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Odds-ratio-in-logistic-regression-on-rare-even/m-p/335884#M17722</link>
      <description>&lt;P&gt;hello,&amp;nbsp;&lt;/P&gt;&lt;P&gt;my data include two variables with 20,000 records. One is whether or not received a product sample and the other is whether use the product or other products after received the product sample. I wanted to calculate the odds ratio to conclude that the consumer who received the product sample would be 2 times likely to use the product than the consumer who didn't receive the sample. However the product has only 3% of market share among all the products consumers use.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;how to solve the problem in SAS?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'm very appreciative of any helps?&lt;/P&gt;&lt;P&gt;Ethan&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 25 Feb 2017 20:40:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Odds-ratio-in-logistic-regression-on-rare-even/m-p/335884#M17722</guid>
      <dc:creator>t75wez1</dc:creator>
      <dc:date>2017-02-25T20:40:26Z</dc:date>
    </item>
    <item>
      <title>Re: Odds ratio in logistic regression on rare even</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Odds-ratio-in-logistic-regression-on-rare-even/m-p/335894#M17724</link>
      <description>&lt;P&gt;Here's a good quick reference, Paul Allisons thoughts on the issue&lt;/P&gt;
&lt;P&gt;&lt;A href="http://statisticalhorizons.com/logistic-regression-for-rare-events" target="_blank"&gt;http://statisticalhorizons.com/logistic-regression-for-rare-events&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You can google with the following term to get more responses : Logistic regression rare events&lt;/P&gt;</description>
      <pubDate>Sat, 25 Feb 2017 21:21:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Odds-ratio-in-logistic-regression-on-rare-even/m-p/335894#M17724</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2017-02-25T21:21:06Z</dc:date>
    </item>
    <item>
      <title>Re: Odds ratio in logistic regression on rare even</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Odds-ratio-in-logistic-regression-on-rare-even/m-p/335933#M17726</link>
      <description>&lt;P&gt;Exact Logistic Regression&lt;/P&gt;</description>
      <pubDate>Sun, 26 Feb 2017 02:32:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Odds-ratio-in-logistic-regression-on-rare-even/m-p/335933#M17726</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2017-02-26T02:32:53Z</dc:date>
    </item>
    <item>
      <title>Re: Odds ratio in logistic regression on rare even</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Odds-ratio-in-logistic-regression-on-rare-even/m-p/336344#M17733</link>
      <description>&lt;P&gt;Since you describe a 2x2 table, you could avoid fitting a model altogether and simply use PROC FREQ and request an exact estimate of the odds ratio with the EXACT OR; statement.&lt;/P&gt;</description>
      <pubDate>Mon, 27 Feb 2017 21:07:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Odds-ratio-in-logistic-regression-on-rare-even/m-p/336344#M17733</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2017-02-27T21:07:33Z</dc:date>
    </item>
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