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      <title>BE205-worksheet11 by Tim Downing</title>
      <link>https://padlet.com/tim_downing1/BE205worksheet11</link>
      <description>Add questions or answers here as text or photos or word documents</description>
      <language>en-us</language>
      <pubDate>2016-09-25 13:53:16 UTC</pubDate>
      <lastBuildDate>2025-12-10 14:12:41 UTC</lastBuildDate>
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         <title>Bayes and odds ratios</title>
         <author>tim_downing1</author>
         <link>https://padlet.com/tim_downing1/BE205worksheet11/wish/139647482</link>
         <description><![CDATA[<div>Q1. A patient goes to see a doctor. The doctor performs a test with 99% reliability: 99% of people who are sick test positive and 99% of healthy people test negative. The doctor knows that only 1% of people are sick. If the patient tests positive, what is the chance the patient is really sick?</div><div>Q2. If only 90% of healthy people test negative, how does this probability change? Likewise, if the prevalence of the sickness is 10%, how would that change the original posterior probability calculation?</div><div>Q3. 90% of Dan's Dodgy tomatoes treated with a pesticide are diseased with <em>Bacillus</em> but only 10% of Simon's Splendiferous tomatoes are diseased. In a group not treated with a pesticide, 55% of Dan's Dodgy tomatoes are diseased and 45% of Simon's Splendiferous tomatoes are. What is the odds ratio of disease rates given pesticide exposure between varieties? </div>]]></description>
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         <pubDate>2016-11-23 18:55:35 UTC</pubDate>
         <guid>https://padlet.com/tim_downing1/BE205worksheet11/wish/139647482</guid>
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