Toward Advancing Precision Environmental Health: Developing a Customized Exposure Burden Score to PFAS Mixtures to Enable Equitable Comparisons Across Population Subgroups, Using Mixture Item Response Theory.

Liu, Shelley H; Feuerstahler, Leah; Chen, Yitong; Braun, Joseph M; Buckley, Jessie P

Liu, Shelley H; Feuerstahler, Leah; Chen, Yitong; Braun, Joseph M; Buckley, Jessie P.

Afiliación

Liu SH; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.
Feuerstahler L; Department of Psychology, Fordham University, Bronx, New York 10458, United States.
Chen Y; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.
Braun JM; Department of Epidemiology, Brown University, Providence, Rhode Island 02912, United States.
Buckley JP; Department of Environmental Health and Engineering, John Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, United States.

Environ Sci Technol ; 57(46): 18104-18115, 2023 Nov 21.

Article en En | MEDLINE | ID: mdl-37615359

Asunto(s)

Ácidos Alcanesulfónicos; Contaminantes Ambientales; Fluorocarburos; Humanos; Estados Unidos; Encuestas Nutricionales; Salud Ambiental

Palabras clave

algorithmic bias; chemical mixtures; fairness; item response theory; latent variables; per- and polyfluoroalkyl substances; precision environmental health; psychometrics

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ácidos Alcanesulfónicos / Contaminantes Ambientales / Fluorocarburos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Environ Sci Technol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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