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  1. bpb-us-w2.wpmucdn.com › Explaining-Odds-RatiosExplaining 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 expo-sure. Odds ratios are most commonly used in case-control stud-

  2. Aug 1, 2010 · 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.

    • Magdalena Szumilas
    • 2010
  3. Explaining odds ratios. J Can Acad Child Adolesc Psychiatry. 2010 Aug;19 (3):227-9. Author. Magdalena Szumilas 1. Affiliation. 1 Research Associate, Sun Life Financial Chair in Adolescent Mental Health, IWK Health Centre & Dalhousie University, Maritime Outpatient Psychiatry, Halifax, Nova Scotia. PMID: 20842279. PMCID: PMC2938757.

    • Magdalena Szumilas
    • 2010
  4. Nov 3, 2020 · 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.

  5. May 22, 2023 · The odds ratio is the ratio of the odds of the event happening in an exposed group versus a non-exposed group. The odds ratio is commonly used to report the strength of association between exposure and an event.

    • Steven Tenny, Mary R. Hoffman
    • 2023/05/22
    • University of Nebraska Medical Center
  6. Aug 1, 2010 · This article breaks down the odds ratio by reviewing the concepts and calculations of probability and odds, and discusses how to interpret an odds ratio, and how these ratios can be useful in real-world applications.

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  8. Apr 14, 2011 · This chapter contains an overview of statistical methods for categorical data in general and binary outcomes in particular, with an emphasis on the odds ratio and its applications in psychiatry. Illustrations from a number of study designs common in psychiatry are approached using contingency tables and the methods that arise from their analysis.

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