ArticleEnvironmental health : a global access science source2019
Issues with incorrect computing of population attributable fraction (PAF) in a global perspective on coal-fired power plants and burden of lung cancer.
Article in Environmental health : a global access science source, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Lactation duration and the risk of type 2 diabetes mellitus in parous women: A perspective on socioeconomic status disparity.Journal of advanced research · 2025Article
- Bias assessment and correction for Levin's population attributable fraction in the presence of confounding.European journal of epidemiology · 2024Article
- Population attributable fraction in textbooks: Time to revise.Global epidemiology · 2021Article
- Estimation and application of population attributable fraction in ecological studies.Environmental health : a global access science source · 2019Article
Corrections and comments
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
All observational studies are liable to confounding and Levin's formula becomes useless in practice for unbiasedly estimating PAF. With respect to causal interpretation of PAF in public health setting, unbiased estimation of PAF requires several assumptions which are ignored in practice. We recommend using Miettinen PAF formula with careful consideration about possibility of bias in study design and analysis.
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Registered trials
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