Simplifying likelihood ratios
Open accessAbstract
Likelihood ratios are one of the best measures of diagnostic accuracy, although they are seldom used, because interpreting them requires a calculator to convert back and forth between "probability" and "odds" of disease. This article describes a simpler method of interpreting likelihood ratios, one that avoids calculators, nomograms, and conversions to "odds" of disease. Several examples illustrate how the clinician can use this method to refine diagnostic decisions at the bedside.
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References 9 · Cited by 894
- Authors
- McGee, S.
- Affiliations
- University of Washington (US)
- Corresponding author
- McGee, Steven
- Venue
- Journal of General Internal Medicine
- Published
- 2002-08
- Volume
- 17
- Issue
- 8
- Pages
- 647-650
- ISSN
- 0884-8734 (ISSN-L)
- 1525-1497
- PMC
- PMC1495095
- OpenAlex
- W2017460912
- Cited by
- 894
- References
- 9
- Citations by year
- 2026: 36 · 2025: 30 · 2024: 49 · 2023: 48 · 2022: 67 · 2021: 91 · 2020: 107 · 2019: 75 · 2018: 68 · 2017: 60 · 2016: 35 · 2015: 39 · 2014: 38 · 2013: 35 · 2012: 33
- FWCI
- 3.30
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of General Internal Medicine (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- likelihood ratios, diagnostic accuracy, disease probability, odds, clinical decision-making, bedside diagnosis, diagnostic test interpretation
- MeSH terms
- Diagnosis, Epidemiologic Methods, Likelihood Functions
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