Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) Program: Novel and Expanded Statistical Methods

• Published in: International journal of environmental research and public health Vol. 19; no. 3; p. 1378
• Main Authors: Joubert, Bonnie R., Kioumourtzoglou, Marianthi-Anna, Chamberlain, Toccara, Chen, Hua Yun, Gennings, Chris, Turyk, Mary E., Miranda, Marie Lynn, Webster, Thomas F., Ensor, Katherine B., Dunson, David B., Coull, Brent A.
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 26.01.2022; MDPI
• Subjects: Air pollution; Data science; Datasets; Environmental Exposure - analysis; Environmental health; Epidemiologic Methods; Epidemiologic Studies; Epidemiology; Flame retardants; Humans; Interdisciplinary aspects; National Institute of Environmental Health Sciences (U.S.); Pesticides; Research Design; Review; Risk Assessment; Severe acute respiratory syndrome coronavirus 2; Software; Spatial data; Statistical methods; United States; VOCs; Volatile organic compounds; Workshops; United States; epidemiology; risk assessment; environment; health impact; methods; non-chemical stressors; combined exposures; chemical interactions; exposomics; chemicals; mixtures; statistics

Humans are exposed to a diverse mixture of chemical and non-chemical exposures across their lifetimes. Well-designed epidemiology studies as well as sophisticated exposure science and related technologies enable the investigation of the health impacts of mixtures. While existing statistical methods...