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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 expo-sure.
bpb-us-w2.wpmucdn.com/sites.umassd.edu/dist/f/1316/files/2023/01/Explaining-Odds-Ratios.pdf
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The pooled outcome measurement was the male-to-female odds ratio (MFOR), namely the odds of being male in the group with ASD compared with the non-ASD group. In effect, this is the ASD male-to-female ratio, controlling for the male-to-female ratio among participants without ASD.
- Rachel Loomes, Laura Hull, William Polmear Locke Mandy
- 2017
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
May 22, 2023 · The odds ratio is a ratio of two sets of odds: the odds of the event occurring in an exposed group versus the odds of the event occurring in a non-exposed group. Odds ratios commonly are used to report case-control studies.
- Steven Tenny, Mary R. Hoffman
- 2023/05/22
- University of Nebraska Medical Center
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
Risk of suicide attempts differed (BD > MDD) highly significantly by meta-analysis (odds ratio [OR] = 1.71, CI = 1.33-2.20, p < .0001), and was very similar if a study with attempts and suicidal ideation was excluded (OR = 1.64, CI = 1.26-2.15, p < .0001).
The odds ratio is the only valid measurement of association in case-control studies, but Clauss and Blackford restricted their meta-analysis to cohort studies, for which relative risks can be calculated.
