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Article
[BDSP. Notice produite par INIST-CNRS rR0x9p9t. Diffusion soumise à autorisation]. Ozone is associated with adverse health ; however, less is known about vulnerable/sensitive populations, which we refer to as sensitive populations. We systematic[...]
Article
David-A SAVITZ ; Jennifer-F BOBB ; Department of Epidemiology, Brown University (Providence RI, Etats-Unis) ; Jessie-L CARR ; Department of Biostatistics, Harvard School of Public Health (Boston MA, Etats-Unis) ; Department of Environmental Health Sciences, University of Pittsburgh Graduate School of Public Health (Pittsburgh PA, Etats-Unis) ; Jane-E CLOUGHERTY ; New York City Department of Health and Mental Hygiene, Bureau of Environmental Surveillance and Policy (New York NY, Etats-Unis) ; Francesca DOMINICI ; Beth ELSTON ; Kazuhiko ITO ; Zev ROSS ; Michelle YEE ; Thomas-D MATTE |[BDSP. Notice produite par INIST-CNRS J9ssR0xo. Diffusion soumise à autorisation]. Building on a unique exposure assessment project in New York, New York, we examined the relationship of particulate matter with aerodynamic diameter less than 2.5[...]
Article
[BDSP. Notice produite par INIST-CNRS G97R0xFB. Diffusion soumise à autorisation]. Although there is strong evidence that short-term exposure to particulate matter is associated with health risks, less is known about whether some subpopulations [...]
Article
LEVY (Jonathan-I) : USA. Department of Environmental Health. School of Public Health. Boston University. Boston. MA. ; Christopher-D BARR ; David DIEZ ; Francesca DOMINICI ; . YIPING DOU |[BDSP. Notice produite par INIST-CNRS 9ER0x79F. Diffusion soumise à autorisation]. Health risk assessments of particulate matter less than 2.5 mum in diameter (PM2.5) often assume that all constituents of PM2.5 are equally toxic. While investiga[...]
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Michelle-L BELL ; Francesca DOMINICI ; Keita EBISU ; Roger-D PENG ; SAMET (Jonathan-M) : USA. Department of Epidemiology. Johns Hopkins Bloomberg School of Public Health. Baltimore. MD. ; WALKER (Jemma) : GBR. Medical Statistics Unit. London School of Hygiene and Tropical Medicine. London. ; Scott-L ZEGER ; School of Forestry and Environmental Studies. Yale University. New Haven. CT. USA |[BDSP. Notice produite par INIST-CNRS EJrDR0xt. Diffusion soumise à autorisation]. The authors investigated whether short-term effects of fine particulate matter with an aerodynamic diameter
Article
TOLBERT (Paige-E) : USA. Department of Environmental and Occupational Health. Rollins School of Public Health. Emory University. Atlanta. GA. ; Francesca DOMINICI ; Roger-D PENG ; Jonathan-M SAMET ; Ronald-H White ; Scott-L ZEGER |[BDSP. Notice produite par INIST-CNRS 0R0xLg7z. Diffusion soumise à autorisation]. Evaluation of the public health impact of air quality regulations, referred to as accountability research, is increasingly viewed as a necessary component of resp[...]
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Francesca DOMINICI ; LEVY (Jonathan-I) : USA. Department of Environmental Health and Risk Assessment. Harvard School of Public Health. Boston. MA. ; Thomas-A LOUIS ; Johns Hopkins University. Bloomberg School of Public Health. Department of Biostatistics. Baltimore. MD. USA |[BDSP. Notice produite par INIST-CNRS cHx3R0x5. Diffusion soumise à autorisation].
Article
[BDSP. Notice produite par INIST-CNRS R0xdfXj6. Diffusion soumise à autorisation]. While time-series studies have consistently provided evidence for an effect of particulate air pollution on mortality, uncertainty remains as to the extent of the[...]
Article
[BDSP. Notice produite par INIST-CNRS R0xBbRi7. Diffusion soumise à autorisation]. The authors used data obtained from clinic records and environmental monitoring stations in Taiwan during 1998 to estimate the association between air pollution a[...]
Article
Francesca DOMINICI ; Aidan MCDERMOTT ; SAMET (Jonathan-M) : USA. Department of Epidemiology. Bloomberg School of Public Health. Johns Hopkins University. Baltimore. MD. ; Scott-L ZEGER ; Department of Biostatistics. Bloomberg School of Public Health. Johns Hopkins University. Baltimore. MD. USA |[BDSP. Notice produite par INIST-CNRS R0xQ2sUE. Diffusion soumise à autorisation]. The widely used generalized additive models (GAM) method is a flexible and effective technique for conducting nonlinear regression analysis in time-series studies[...]
