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      • An odds ratio (OR) is a measure of association between an exposure and an outcome. The OR represents the odds that an outcome will occur given a particular exposure, compared to the odds of the outcome occurring in the absence of that exposure.
      www.ncbi.nlm.nih.gov/pmc/articles/PMC2938757/
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  2. www.ncbi.nlm.nih.gov › pmc › articlesExplaining Odds Ratios

    What is an odds ratio? An odds ratio (OR) is a measure of association between an exposure and an outcome. The OR represents the odds that an outcome will occur given a particular exposure, compared to the odds of the outcome occurring in the absence of that exposure.

  3. Mar 3, 2019 · Ever wonder how some people always seem to beat the odds? It's not just luck. Anyone can learn how to turn possibility into probability.

  4. en.wikipedia.org › wiki › Odds_ratioOdds ratio - Wikipedia

    The odds ratio is defined as the ratio of the odds of event A taking place in the presence of B, and the odds of A in the absence of B. Due to symmetry, odds ratio reciprocally calculates the ratio of the odds of B occurring in the presence of A, and the odds of B in the absence of A.

  5. The bias from conjunction fallacy is a common reasoning error in which we believe that two events happening in conjunction is more probable than one of those events happening alone. Here’s why this happens and how we can overcome the fallacy. ***

  6. The gambler's fallacy, also known as the Monte Carlo fallacy or the fallacy of the maturity of chances, is the belief that, if an event (whose occurrences are independent and identically distributed) has occurred less frequently than expected, it is more likely to happen again in the future (or vice versa).

  7. May 23, 2018 · A mood is a general feeling, not a reaction to a particular situation. Third, moods are not as intense as emotions, which can be strong feelings such as exhilaration,...

  8. Jun 22, 2023 · Confirmation bias is the tendency of people to favor information that confirms their existing beliefs or hypotheses. Confirmation bias happens when a person gives more weight to evidence that confirms their beliefs and undervalues evidence that could disprove it.

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