Predicting chronic fine and coarse particulate exposures using spatiotemporal models for the Northeastern and Midwestern United States.
about
Cardiac autonomic dysfunction: particulate air pollution effects are modulated by epigenetic immunoregulation of Toll-like receptor 2 and dietary flavonoid intakeQuantifying risk over the life course - latency, age-related susceptibility, and other time-varying exposure metricsEconomic activity and trends in ambient air pollutionAir pollution exposures during adulthood and risk of endometriosis in the Nurses' Health Study IIPrediction of fine particulate matter chemical components with a spatio-temporal model for the Multi-Ethnic Study of Atherosclerosis cohortCombining PM2.5 Component Data from Multiple Sources: Data Consistency and Characteristics Relevant to Epidemiological Analyses of Predicted Long-Term ExposuresChronic fine and coarse particulate exposure, mortality, and coronary heart disease in the Nurses' Health Study.Spatial modeling of PM10 and NO2 in the continental United States, 1985-2000.Characterizing spatial patterns of airborne coarse particulate (PM10-2.5) mass and chemical components in three cities: the multi-ethnic study of atherosclerosis.Spatio-temporal modeling of particulate air pollution in the conterminous United States using geographic and meteorological predictors.Particulate matter air pollution exposure, distance to road, and incident lung cancer in the nurses' health study cohortOrdinary kriging approach to predicting long-term particulate matter concentrations in seven major Korean citiesAir pollution and risk of uterine leiomyomata.Autism spectrum disorder and particulate matter air pollution before, during, and after pregnancy: a nested case-control analysis within the Nurses' Health Study II CohortAre particulate matter exposures associated with risk of type 2 diabetes?Spatiotemporal analysis of particulate air pollution and ischemic heart disease mortality in Beijing, ChinaEstimating personal exposures from ambient air pollution measures: using meta-analysis to assess measurement error.Estimation of fine particulate matter in Taipei using landuse regression and bayesian maximum entropy methods.The relation between past exposure to fine particulate air pollution and prevalent anxiety: observational cohort study.Does more accurate exposure prediction necessarily improve health effect estimates?The association of long-term exposure to PM2.5 on all-cause mortality in the Nurses' Health Study and the impact of measurement-error correction.Particulate matter exposures, mortality, and cardiovascular disease in the health professionals follow-up study.Neighborhood walkability and particulate air pollution in a nationwide cohort of women.Prospective Study of Ambient Particulate Matter Exposure and Risk of Pulmonary Embolism in the Nurses' Health Study Cohort.Comparison of geostatistical interpolation and remote sensing techniques for estimating long-term exposure to ambient PM2.5 concentrations across the continental United StatesIncorporating local land use regression and satellite aerosol optical depth in a hybrid model of spatiotemporal PM2.5 exposures in the Mid-Atlantic statesThe moving-window Bayesian maximum entropy framework: estimation of PM(2.5) yearly average concentration across the contiguous United States.Exposure to particulate air pollution and cognitive decline in older womenAmbient air pollution exposures and risk of rheumatoid arthritis.Constrained Source Apportionment of Coarse Particulate Matter and Selected Trace Elements in Three Cities from the Multi-Ethnic Study of AtherosclerosisA regionalized national universal kriging model using Partial Least Squares regression for estimating annual PM2.5 concentrations in epidemiology.Estimating Causal Effects of Long-Term PM2.5 Exposure on Mortality in New Jersey.Historical Prediction Modeling Approach for Estimating Long-Term Concentrations of PM2.5 in Cohort Studies before the 1999 Implementation of Widespread Monitoring.Exposure measurement error in PM2.5 health effects studies: a pooled analysis of eight personal exposure validation studies.Measurement error in two-stage analyses, with application to air pollution epidemiology.Use of visual range measurements to predict fine particulate matter exposures in Southwest Asia and Afghanistan.A New Hybrid Spatio-Temporal Model For Estimating Daily Multi-Year PM2.5 Concentrations Across Northeastern USA Using High Resolution Aerosol Optical Depth Data.Air pollution and ASDs: homing in on an environmental risk factor.Regression calibration in air pollution epidemiology with exposure estimated by spatio-temporal modeling.Methods for Assessing Long-Term Exposures to Outdoor Air Pollutants.
P2860
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P2860
Predicting chronic fine and coarse particulate exposures using spatiotemporal models for the Northeastern and Midwestern United States.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh
2008年學術文章
@zh-hant
name
Predicting chronic fine and co ...... and Midwestern United States.
@en
Predicting chronic fine and co ...... and Midwestern United States.
@nl
type
label
Predicting chronic fine and co ...... and Midwestern United States.
@en
Predicting chronic fine and co ...... and Midwestern United States.
@nl
prefLabel
Predicting chronic fine and co ...... and Midwestern United States.
@en
Predicting chronic fine and co ...... and Midwestern United States.
@nl
P2860
P356
P1476
Predicting chronic fine and co ...... n and Midwestern United States
@en
P2093
Jeff D Yanosky
P2860
P304
P356
10.1289/EHP.11692
P577
2008-11-19T00:00:00Z