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
This 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.
Authors
- Soseul Sung (ORCID: https://orcid.org/0000-0002-5801-3379)
- Sangjun Lee
- Sungji Moon (ORCID: https://orcid.org/0000-0002-6668-3065)
- Youjin Hong (ORCID: https://orcid.org/0000-0002-1062-1658)
- Sue K. Park (ORCID: https://orcid.org/0000-0001-5002-9707)
- Woojin Lim (ORCID: https://orcid.org/0009-0007-0263-5172)
- Kyungsik Kim
Institutions
- Seoul National University (KR)
Publication Details
- Journal
- Journal of Preventive Medicine and Public Health
- Published
- 2024-09-09
- DOI
- https://doi.org/10.3961/jpmph.24.272
- Citations
- 16
- Primary Topic
- Health disparities and outcomes
- Type
- article
- Field-Weighted Citation Impact
- 8.45
Funders
- Korea Disease Control and Prevention Agency
- Korea Occupational Safety and Health Agency
- Occupational Safety and Health Research Institute
- National Health Insurance Service
- Korean Foundation for Cancer Research
- Korea National Institute of Health