ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2024
A Comparison of Green, Delta, and Monte Carlo Methods to Select an Optimal Approach for Calculating the 95% Confidence Interval of the Population-attributable Fraction: Guidance for Epidemiological Research.
Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
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- Fraction of Cancer Attributable to Carcinogenic Drugs in Korea from 2015 to 2030.Cancer research and treatment · 2025Pooled it
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- Clinician and patient attitudes toward locoregional treatment of oligometastatic oesophago-gastric cancers: a mixed-methods study.ESMO gastrointestinal oncology · 2026Article
- Pandemic-era changes in obesity-associated disabling arthritis burden among United States adults: a repeated cross-sectional study.Clinical rheumatology · 2026Article
- Spatiotemporal dynamics and serosurveillance landscape of brucellosis at the human-animal interface in the Chinese Southwest: A retrospective study.PLoS neglected tropical diseases · 2026Article
- Individual- and population-level associations of mental disorders with intentional self-harm.European psychiatry : the journal of the Association of European Psychiatrists · 2026Article
- Sugar rationing during the first 1000 days of life and lifelong risk of heart failure.Nature communications · 2026Article
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- Effect of PMScientific reports · 2025Article
- Preventable cancer cases and deaths attributable to tobacco smoking in Korea from 2015 to 2030.Epidemiology and health · 2025Article
- Preventable cancer cases and deaths attributable to deficit of physical activity in Korea from 2015 to 2030.Epidemiology and health · 2025Article
- Fraction of cancer incidence and mortality attributable to dietary factors in Korea from 2015 to 2030.Epidemiology and health · 2025Article
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7 authors.
Funding
Abstract
objectivesThis study aimed to compare the Delta, Greenland, and Monte Carlo methods for estimating 95% confidence intervals (CIs) of the population-attributable fraction (PAF). The objectives were to identify the optimal method and to determine the influence of primary parameters on PAF calculations.
methodsA dataset was simulated using hypothetical values for primary parameters (population, relative risk [RR], prevalence, and variance of the beta estimator ) involved in PAF calculations. Three methods (Delta, Greenland, and Monte Carlo) were used to estimate the 95% CIs of the PAFs. Perturbation analysis was performed to assess the sensitivity of the PAF to changes in these parameters. An R Shiny application, the "GDM-PAF CI Explorer," was developed to facilitate the analysis and visualization of these computations.
resultsNo significant differences were observed among the 3 methods when both the RR and p-value were low. The Delta method performed well under conditions of low prevalence or minimal RR, while Greenland's method was effective in scenarios with high prevalence. Meanwhile, the Monte Carlo method calculated 95% CIs of PAFs that were stable overall, though it required intensive computational resources. In a novel approach that utilized perturbation for sensitivity analysis, was identified as the most influential parameter in the estimation of CIs.
conclusionsThis study emphasizes the necessity of a careful approach for comparing 95% CI estimation methods for PAFs and selecting the method that best suits the context. It provides practical guidelines to researchers to increase the reliability and accuracy of epidemiological studies.
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