Improving the design of epidemiology studies that use biomonitoring for exposure assessment: a SciPinion panel recommendation
Calculators have been developed and vetted by a panel of experts. They are designed to estimate sample size (number of individuals sampled and number of samples per individual), power and bias in epidemiological studies that use biomonitoring to assess each subject's exposure in the presence of classical measurement errors. These user-friendly tools account for measurement error and allow researchers to design more accurate and appropriately powered studies, ultimately improving quality of public health research.
Authors
- Chi‐Ho Lee (ORCID: https://orcid.org/0000-0002-7569-409X)
- Leeka Kheifets (ORCID: https://orcid.org/0000-0002-3114-2277)
- Guy D. Eslick (ORCID: https://orcid.org/0000-0002-0098-1705)
- Kramer Ms
- SB Harris
- Tyler Carneal (ORCID: https://orcid.org/0009-0009-6513-3414)
- Louis Anthony Cox
- Boris Reiss
- Trudy Voortman
- Igor Burstyn
- Peter Langlois
- Yang Cao
- Sean M. Hays
Institutions
- University of California, Los Angeles (US)
- University of Toronto (CA)
- Örebro University (SE)
- Dominion (United States) (US)
- University of Southampton (GB)
- McGill University (CA)
- Drexel University (US)
- University of Newcastle Australia (AU)
- University of Colorado Denver (US)
- Stanford University (US)
- KU Leuven (BE)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2026-01-12
- DOI
- https://doi.org/10.1186/s12874-025-02753-5
- Primary Topic
- Effects and risks of endocrine disrupting chemicals
- Type
- article
- Field-Weighted Citation Impact
- 0.00