Measurement error caused by spatial misalignment in environmental epidemiology.
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Traffic-related air pollution and cognitive function in a cohort of older menAssociations between long-term exposure to chemical constituents of fine particulate matter (PM2.5) and mortality in Medicare enrollees in the eastern United StatesAmbient air pollution and depressive symptoms in older adults: Wellenius et al. respondAssociation between long-term exposure to traffic particles and blood pressure in the Veterans Administration Normative Aging StudyMeasurement Error and Environmental Epidemiology: A Policy PerspectiveAccountability studies of air pollution and health effects: lessons learned and recommendations for future natural experiment opportunitiesCommon genetic variation, residential proximity to traffic exposure, and left ventricular mass: the multi-ethnic study of atherosclerosis.Estimating the Health Impact of Climate Change with Calibrated Climate Model OutputA pseudo-penalized quasi-likelihood approach to the spatial misalignment problem with non-normal data.Consequences of kriging and land use regression for PM2.5 predictions in epidemiologic analyses: insights into spatial variability using high-resolution satellite data.Combining PM2.5 Component Data from Multiple Sources: Data Consistency and Characteristics Relevant to Epidemiological Analyses of Predicted Long-Term ExposuresAcute and chronic effects of particles on hospital admissions in New-England.Compositional analysis of topsoil metals and its associations with cancer mortality using spatial misaligned data.Spatial misalignment in time series studies of air pollution and health data.Chronic fine and coarse particulate exposure, mortality, and coronary heart disease in the Nurses' Health Study.A comparison of errors in variables methods for use in regression models with spatially misaligned data.Predicting Intra-Urban Variation in Air Pollution Concentrations with Complex Spatio-Temporal Dependencies.Calibrating MODIS aerosol optical depth for predicting daily PM2.5 concentrations via statistical downscaling.Efficient measurement error correction with spatially misaligned data.Exposure prediction approaches used in air pollution epidemiology studies: key findings and future recommendations.Bayesian importance parameter modeling of misaligned predictors: soil metal measures related to residential history and intellectual disability in children.New insights into handling missing values in environmental epidemiological studies.A Flexible Spatio-Temporal Model for Air Pollution with Spatial and Spatio-Temporal Covariates.Annual ambient black carbon associated with shorter telomeres in elderly men: Veterans Affairs Normative Aging Study.Measurement error in air pollution epidemiology: Guidance for uncertain times.Are particulate matter exposures associated with risk of type 2 diabetes?Medium-term exposure to traffic-related air pollution and markers of inflammation and endothelial function.Spatiotemporal analysis of particulate air pollution and ischemic heart disease mortality in Beijing, ChinaFine particulate matter and incident cognitive impairment in the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohortOn the use of a PM(2.5) exposure simulator to explain birthweightCommunity-level spatial heterogeneity of chemical constituent levels of fine particulates and implications for epidemiological research.Does more accurate exposure prediction necessarily improve health effect estimates?Estimating the acute health effects of coarse particulate matter accounting for exposure measurement error.Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM2.5 Geographical Distribution in Mexico City.Confounding and exposure measurement error in air pollution epidemiology.Using Satellite-Based Spatiotemporal Resolved Air Temperature Exposure to Study the Association between Ambient Air Temperature and Birth Outcomes in Massachusetts.Current Methods and Challenges for Epidemiological Studies of the Associations Between Chemical Constituents of Particulate Matter and HealthPractical advancement of multipollutant scientific and risk assessment approaches for ambient air pollution.A novel principal component analysis for spatially misaligned multivariate air pollution data.Protecting human health from air pollution: shifting from a single-pollutant to a multipollutant approach
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Measurement error caused by spatial misalignment in environmental epidemiology.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
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scientific article published on 16 October 2008
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Measurement error caused by spatial misalignment in environmental epidemiology.
@en
Measurement error caused by spatial misalignment in environmental epidemiology.
@nl
type
label
Measurement error caused by spatial misalignment in environmental epidemiology.
@en
Measurement error caused by spatial misalignment in environmental epidemiology.
@nl
prefLabel
Measurement error caused by spatial misalignment in environmental epidemiology.
@en
Measurement error caused by spatial misalignment in environmental epidemiology.
@nl
P2093
P2860
P356
P1433
P1476
Measurement error caused by spatial misalignment in environmental epidemiology.
@en
P2093
Alexandros Gryparis
Ariana Zeka
Christopher J Paciorek
P2860
P304
P356
10.1093/BIOSTATISTICS/KXN033
P577
2008-10-16T00:00:00Z