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Integrating chemical-specific information with general approaches to assessing exposure measurement bias in systematic reviews.

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Bibliographic Details
Title: Integrating chemical-specific information with general approaches to assessing exposure measurement bias in systematic reviews.
Authors: Nachman RM; Chemical and Pollutant Assessment Division (CPAD), Center for Public Health and Environmental Assessment (CPHEA), Office of Research and Development (ORD), U.S. Environmental Protection Agency (US EPA), 1200 Pennsylvania Avenue, Washington, DC 20004, United States. Electronic address: nachman.rebecca@epa.gov., Byrley P; Health and Environmental Effects Assessment Division (HEEAD), Center for Public Health and Environmental Assessment (CPHEA), Office of Research and Development (ORD), U.S. Environmental Protection Agency (US EPA), 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, United States. Electronic address: byrley.peter@epa.gov., Neal-Walthall N; Oak Ridge Institute of Science and Education (ORISE) Research Participant to the Health and Environmental Effects Assessment Division (HEEAD), Center for Public Health and Environmental Assessment (CPHEA), U.S. Environmental Protection Agency (US EPA), Research Triangle Park, NC 27711, United States. Electronic address: natalia.neal-walthall@icf.com., Shaffer RM; Chemical and Pollutant Assessment Division (CPAD), Center for Public Health and Environmental Assessment (CPHEA), Office of Research and Development (ORD), U.S. Environmental Protection Agency (US EPA), 1200 Pennsylvania Avenue, Washington, DC 20004, United States. Electronic address: shaffer.rachel@epa.gov.
Source: Environment international [Environ Int] 2025 Jul; Vol. 201, pp. 109574. Date of Electronic Publication: 2025 May 31.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 7807270 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6750 (Electronic) Linking ISSN: 01604120 NLM ISO Abbreviation: Environ Int Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-6750
DOI:10.1016/j.envint.2025.109574