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    <title>topic Re: Hypothesis Testing for Odds Ratio in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Hypothesis-Testing-for-Odds-Ratio/m-p/365982#M19196</link>
    <description>&lt;P&gt;Some words for your first question: &amp;nbsp;Check 95% Confident Interval of OR .&lt;/P&gt;</description>
    <pubDate>Sun, 11 Jun 2017 10:29:06 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2017-06-11T10:29:06Z</dc:date>
    <item>
      <title>Hypothesis Testing for Odds Ratio</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Hypothesis-Testing-for-Odds-Ratio/m-p/365977#M19195</link>
      <description>&lt;P&gt;Hello all,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am trying to plan a study, in which I wish to compare two "rare proportions".&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;It is assumed that with the current treatment (the standard of care) , the proportion of events (bad events) is 7%. It is also assumed that with the new treatment this proportion goes down to 4%. The expected difference is 3%. An effect of 3% might not sound like much statistically, but clinicians claim it is very significant clinically.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I've tried calculating the sample size for the two proportion test (Fisher's exact test) and got that for power of 80% and significance level of 5%, the sample size is 971 per group, which is quite a lot. This sample size will give me the desired power to test the hypothesis that P1-P2=0.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Alternatively, I've calculated and found that under these assumptions, the OR is 1.8. The sample size to test the hypothesis that OR=1, under the same power and significance level, is 545 per group - far less !&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Now I am confused and looking for the "downfall". My questions to you are:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;1. Using SAS - how do I run an hypothesis testing for the OR = 1 vs OR &amp;gt;1 or OR NE 1 ? I would like to write a simulation so I need to know how to do it. Can I simply use Logistic Regression ?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;2. What is the disadvantage of using the OR instead of the proportion difference ? There has to be a catch, I mean, why would anyone test for proportion difference if you can bypass it and test for the OR with a much smaller sample size ? There has to be a disadvantage I currently can't think about. Do you think that the FDA will accept using the OR instead of the difference or the common Fisher's exact test ?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;3. Is there another approach to handle this situation of rare events, in which clinicians say 3% is amazingly important (each event is hard medically), statistically it's a small effect, and samples of ~1000 per group are way to expensive for a company to pay ? What would you recommend ? Maybe Bayesian Statistics ? Any advice will be mostly appreciated !&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you !&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sun, 11 Jun 2017 07:22:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Hypothesis-Testing-for-Odds-Ratio/m-p/365977#M19195</guid>
      <dc:creator>BlueNose</dc:creator>
      <dc:date>2017-06-11T07:22:54Z</dc:date>
    </item>
    <item>
      <title>Re: Hypothesis Testing for Odds Ratio</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Hypothesis-Testing-for-Odds-Ratio/m-p/365982#M19196</link>
      <description>&lt;P&gt;Some words for your first question: &amp;nbsp;Check 95% Confident Interval of OR .&lt;/P&gt;</description>
      <pubDate>Sun, 11 Jun 2017 10:29:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Hypothesis-Testing-for-Odds-Ratio/m-p/365982#M19196</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2017-06-11T10:29:06Z</dc:date>
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