TY - JOUR A1 - Carone, M A1 - Dominici, F A1 - Sheppard, L T1 - In Pursuit of Evidence in Air Pollution Epidemiology: The Role of Causally Driven Data Science Y1 - 2020//01 N1 - R834677 JF - EPIDEMIOLOGY J1 - EPIDEMIOLOGY VL - 31 IS - 1 SP - 1 EP - 6 ER - TY - JOUR A1 - Choirat, C A1 - Braun, D A1 - Kioumourtzoghlou, M T1 - Data Science in Environmental Health Research Y1 - 2019//01 N1 - R834677 JF - ENVIRONMENTAL EPIDEMIOLOGY J1 - ADV CHEM SER VL - 6 IS - 13 SP - 291 EP - 299 ER - TY - JOUR A1 - Matthaios, V A1 - Lawrence, J A1 - Martins, M A1 - Ferguson, S A1 - Wolfson, J A1 - Harrison, R A1 - Kourtrakis, P T1 - Quantifying factors affecting contributions of Roadway exhaust and non-exhaust emissions to ambient PM10-2.5 and PM2.5-0.2 particles Y1 - 2022//20 N1 - R835872 N1 - R834677 JF - SCIENCE OF THE TOTAL ENVRIONMENT VL - 835 ER - TY - JOUR A1 - Mork, D A1 - Braun, D A1 - Zanobetti, A T1 - Time-lagged relationships between a decade of air pollution exposure and first hospitalization with Alzheimer's disease and related dementias Y1 - 2023/01/01 N1 - R834677 JF - Environmental International J1 - Environ.Int. J2 - Environmental International J3 - Enviornmenal Research VL - 171 IS - 107694 ER - TY - JOUR A1 - Papadogeorgou, G A1 - Kioumourtzoglou, M A1 - Braun, D A1 - Zanobetti, A T1 - Low Levels of Air Pollution and Health: Effect Estimates, Methodological Challenges, and Future Directions Y1 - 2019//01 N1 - R834677 JF - CURRENT ENVIRONMENTAL HEALTH REPORTS VL - 6 IS - 3 SP - 105 EP - 115 ER - TY - JOUR A1 - Shi, L A1 - Wu, X A1 - Danesh, Y A1 - Braun, D A1 - Abu, A A1 - Wei, Y A1 - Liu, P A1 - Di, Q A1 - Wang, Y A1 - Schwartz, J A1 - Dominici, F A1 - Kioumourtzoglou, M A1 - Zanobetti, A T1 - Long-term effects of PM2ยท5 on neurological disorders in the American Medicare population:a longitudinal cohort study Y1 - 2020/12/01 N1 - R834677 VL - 4 IS - 12 SP - e557 EP - e565 ER - TY - JOUR A1 - Wu, X A1 - Nethery, R C A1 - Sabath, M B A1 - Braun, D A1 - Dominici, F T1 - Air pollution and COVID-19 mortality in the United States:Strengths and limitations of an ecological regression analysis Y1 - 2020/11/01 N1 - R835872 N1 - R834677 VL - 6 IS - 45 SP - eabd4049 ER -