Use and misuse of population attributable fractions
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Use and misuse of population attributable fractions. B Rockhill, B Newman, and C WeinbergCopyRight https://doi.org/10.2105/AJPH.88.1.15 Published Online: October 07, 2011
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- Authors
- Rockhill, B., Newman, B., & Weinberg, C.
- Affiliations
- Harvard University (US)
- ORCID
- Weinberg, C
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 1998-01
- Volume
- 88
- Issue
- 1
- Pages
- 15-19
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- PMC
- PMC1508384
- OpenAlex
- W2044434363
- Cited by
- 1,683
- References
- 33
- Citations by year
- 2026: 54 · 2025: 62 · 2024: 64 · 2023: 46 · 2022: 67 · 2021: 88 · 2020: 78 · 2019: 88 · 2018: 89 · 2017: 88 · 2016: 85 · 2015: 72 · 2014: 100 · 2013: 73 · 2012: 78
- FWCI
- 20.74
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Public Health (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Social Sciences › Sociology and Political Science › Historical and modern epidemiology studies
- Keywords
- population attributable fraction, attributable risk, disease burden estimation
- MeSH terms
- Epidemiologic Methods, Humans, Mathematics, Risk Factors, Risk Assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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