How Big is a Big Odds Ratio? Interpreting the Magnitudes of Odds Ratios in Epidemiological Studies
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Summary
A new method for interpreting the size of the OR by relating it to differences in a normal standard deviate is proposed, which indicates that OR = 1.68, 3.47, and 6.71 are equivalent to Cohen's d = 0.2, 0.5, and 0.8 when OR > 5.8.
- Type
- article
- Published
- 2010-03-31
- Cited by
- 1,861
- References
- 18
- Access
- Open access
- OpenAlex
- https://openalex.org/W2029059557
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5250652
Keywords
Odds ratio, Odds, Epidemiology, Index (typography), Statistics
References
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- Estimating risk and rate levels, ratios and differences in case‐control studies
- The scandal of poor epidemiological research
- Appraising and Amending Theories: The Strategy of Lakatosian Defense and Two Principles that Warrant It
- Reconsidering the odds ratio as a measure of 2×2 association in a population
- Down with odds ratios!
- Applied Logistic Regression: Hosmer/Applied Logistic Regression
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- Statistical Power Analysis for the Behavioral Sciences
- Estimating Risk and Rate Levels, Ratios and Differences Case-Control Studies
- Epidemiology in the 21st century: calculation, communication, and intervention.
- Statistical power analysis for the behavioral sciences
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