Consequences of kriging and land use regression for PM2.5 predictions in epidemiologic analyses: insights into spatial variability using high-resolution satellite data

Measurement error in two-stage analyses, with application to air pollution epidemiology

(2014) Adam A. Szpiro et al.   ENVIRONMETRICS

Measurement Error in Epidemiologic Studies of Air Pollution Based on Land-Use Regression Models

(2013) Xavier Basagaña et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Using new satellite based exposure methods to study the association between pregnancy pm2.5 exposure, premature birth and birth weight in Massachusetts

(2012) Itai Kloog et al.   Environmental Health

Incorporating Local Land Use Regression And Satellite Aerosol Optical Depth In A Hybrid Model Of Spatiotemporal PM2.5 Exposures In The Mid-Atlantic States

(2012) Itai Kloog et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Assessing temporally and spatially resolved PM2.5 exposures for epidemiological studies using satellite aerosol optical depth measurements

(2011) Itai Kloog et al.   ATMOSPHERIC ENVIRONMENT

Efficient measurement error correction with spatially misaligned data

(2011) A. A. Szpiro et al.   BIOSTATISTICS

Does More Accurate Exposure Prediction Necessarily Improve Health Effect Estimates?

(2011) Adam A. Szpiro et al.   EPIDEMIOLOGY

Particulate Matter Air Pollution and Cardiovascular Disease

(2010) Robert D. Brook et al.   CIRCULATION

A comparison of errors in variables methods for use in regression models with spatially misaligned data

(2010) Kenneth K Lopiano et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Measurement error caused by spatial misalignment in environmental epidemiology

(2008) A. Gryparis et al.   BIOSTATISTICS

Land use regression modeling of intra-urban residential variability in multiple traffic-related air pollutants

(2008) Jane E Clougherty et al.   Environmental Health

An automatic cloud mask algorithm based on time series of MODIS measurements

(2008) A. Lyapustin et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Regression with spatially misaligned data

(2007) L. Madsen et al.   ENVIRONMETRICS