ArticleInfectious diseases of poverty2019
Recommendation on unbiased estimation of population attributable fraction calculated in "prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study".
Article in Infectious diseases of poverty, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 44 citations in OpenAlex.
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- ApoB and Non-HDL Cholesterol Versus LDL Cholesterol for Ischemic Stroke Risk.Annals of neurology · 2022Article
- Prevalence of modifiable risk factors of tuberculosis and their population attributable fraction in Iran: A cross-sectional study.PloS one · 2022Article
- Population attributable fraction in textbooks: Time to revise.Global epidemiology · 2021Article
- Estimation of Generalized Impact Fraction and Population Attributable Fraction of Hypertension Based on JNC-IV and 2017 ACC/AHA Guidelines for Cardiovascular Diseases Using Parametric G-Formula: Tehran Lipid and Glucose Study (TLGS).Risk management and healthcare policy · 2020Article
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Abstract
Population attributable fraction (PAF) refers to the proportion of all cases with a particular outcome in a population that could be prevented by eliminating a specific exposure. The authors of a recent paper evaluated the prevalence and estimated the PAFs for risk factors of TB among elderly people in China [Inf Dis Poverty. 2019;8:7]. Confounding is inevitable in observational studies and Levin's formula is of limited use in practice for unbiasedly estimating PAF. In a complex survey design, an unbiased estimation of the PAF can be calculated using a sample-weighted version of the Miettinen formula or a sample weighed parametric g-formula. With respect to causal interpretation of PAF in public health setting, computation of PAF is logical and practical when the exposure is amenable to intervention.
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