2005 - Fellow of the American Statistical Association (ASA)
Francesca Dominici spends much of her time researching Air pollution, Environmental health, Particulates, Statistics and Air pollutants. Her research in Air pollution intersects with topics in Air quality index, Pollution, Ozone and Morbidity mortality. Francesca Dominici combines subjects such as Mortality rate, Particulate air pollution, Pollutant and Environmental protection with her study of Air quality index.
Her study in Environmental health is interdisciplinary in nature, drawing from both Cause of death, Life expectancy, Public health, Socioeconomic status and Fine particulate. She has researched Particulates in several fields, including Seasonality, Demography and Environmental exposure. Her research in Air pollutants focuses on subjects like Adverse health effect, which are connected to Air pollution in the United States and Data collection.
The scientist’s investigation covers issues in Air pollution, Environmental health, Statistics, Econometrics and Particulates. Her studies deal with areas such as Air quality index, Pollutant and Pollution as well as Air pollution. Her studies in Environmental health integrate themes in fields like Cohort study and Public health.
Her work on Confounding, Bayesian probability, Nonparametric statistics and Linear regression as part of general Statistics research is frequently linked to Context, bridging the gap between disciplines. As part of the same scientific family, Francesca Dominici usually focuses on Confounding, concentrating on Epidemiology and intersecting with Demography. The various areas that Francesca Dominici examines in her Econometrics study include Bayesian inference and Time series.
Francesca Dominici mainly focuses on Environmental health, Air pollution, Causal inference, Demography and Confidence interval. Her work deals with themes such as Cohort study, Pollutant, Public health and 2019-20 coronavirus outbreak, which intersect with Environmental health. Her Air pollution research integrates issues from Particulates, Epidemiology and Ozone.
Her Causal inference research is multidisciplinary, incorporating perspectives in Matching, Covariate and Inference. Her Demography study incorporates themes from Storm, Medicaid, Term effect, Hazard ratio and Causal model. Her Confidence interval research includes themes of Mortality rate, Tropical cyclone and Proportional hazards model.
Her scientific interests lie mostly in Air pollution, Environmental health, Causal inference, Confidence interval and MEDLINE. The various areas that she examines in her Air pollution study include Observational study, Mortality rate, Natural resource economics, Ozone and Process. Her studies deal with areas such as Particulates, Particulate pollution, Pollutant and Cardiovascular outcomes as well as Environmental health.
Her Particulates research focuses on subjects like Global health, which are linked to Incidence. Her Causal inference research is multidisciplinary, incorporating perspectives in Propensity score matching, Linear regression and Confounding. The Confidence interval study combines topics in areas such as Epidemiology and Fine particulate.
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Fine Particulate Air Pollution and Mortality in 20 U.S. Cities, 1987–1994
Jonathan M. Samet;Francesca Dominici;Frank C. Curriero;Ivan Coursac.
The New England Journal of Medicine (2000)
Fine Particulate Air Pollution and Hospital Admission for Cardiovascular and Respiratory Diseases
Francesca Dominici;Roger D. Peng;Michelle L. Bell;Luu Pham.
Ozone and short-term mortality in 95 US urban communities, 1987-2000.
Michelle L. Bell;Aidan McDermott;Scott L. Zeger;Jonathan M. Samet.
Exposure measurement error in time-series studies of air pollution: concepts and consequences.
Scott L. Zeger;Duncan Thomas;Francesca Dominici;Jonathan M. Samet.
Environmental Health Perspectives (2000)
The national morbidity, mortality, and air pollution study
Francesca Dominici;Antonella Zanobetti;Scott L Zeger;Joel Schwartz.
Part II: morbidity and … (2000)
Air Pollution and Mortality in the Medicare Population.
Qian Di;Yan Wang;Antonella Zanobetti;Yun Wang.
The New England Journal of Medicine (2017)
Exposure to air pollution and COVID-19 mortality in the United States: A nationwide cross-sectional study
Xiao Wu;Rachel C Nethery;M Benjamin Sabath;Danielle Braun.
The National Morbidity, Mortality, and Air Pollution Study. Part II: Morbidity and mortality from air pollution in the United States.
J M Samet;S L Zeger;F Dominici;F Curriero.
Research report (Health Effects Institute) (2000)
On the use of generalized additive models in time-series studies of air pollution and health.
Francesca Dominici;Aidan McDermott;Scott L. Zeger;Jonathan M. Samet.
American Journal of Epidemiology (2002)
A Meta-Analysis of Time-Series Studies of Ozone and Mortality With Comparison to the National Morbidity, Mortality, and Air Pollution Study
Michelle L. Bell;Francesca Dominici;Jonathan M. Samet.
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