STAT 301 Lecture Notes - Odds Ratio, Confounding

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27 Mar 2014
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The odds of an event can be calculated as p. If x is the # of successes and n is the total number of observations in a group, then the odds are x n x. If odds are > 1, the outcome of interest is more likely to happen than not. If odds are < 1, the outcome is not as likely to happen as all other possible outcomes. If odds are = 1, there is a split between the outcome of interest and all other possible outcomes. Specifically, if odds = a (or a:b), you are likely to get a successes for every b failures. Or > 1 means that the outcome of interest is more likely in category 1 than in category 2. Or = 1 means that the outcome of interest is not affected by the different categories (just the ones being compared)

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