about
Estimating regional spatial and temporal variability of PM(2.5) concentrations using satellite data, meteorology, and land use informationDoes more accurate exposure prediction necessarily improve health effect estimates?Use of spatial information to predict multidrug resistance in tuberculosis patients, Peru.Spatial Modelling Using a New Class of Nonstationary Covariance Functions.Predicting chronic fine and coarse particulate exposures using spatiotemporal models for the Northeastern and Midwestern United States.Spatio-temporal modeling of chronic PM10 exposure for the Nurses' Health StudyModeling spatial patterns of traffic-related air pollutants in complex urban terrain.Misinformation in the conjugate prior for the linear model with implications for free-knot spline modelling.The importance of scale for spatial-confounding bias and precision of spatial regression estimators.
P50
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P50
description
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Christopher J Paciorek
@ast
Christopher J Paciorek
@en
Christopher J Paciorek
@es
Christopher J Paciorek
@nl
Christopher J Paciorek
@sl
type
label
Christopher J Paciorek
@ast
Christopher J Paciorek
@en
Christopher J Paciorek
@es
Christopher J Paciorek
@nl
Christopher J Paciorek
@sl
prefLabel
Christopher J Paciorek
@ast
Christopher J Paciorek
@en
Christopher J Paciorek
@es
Christopher J Paciorek
@nl
Christopher J Paciorek
@sl
P106
P21
P31
P496
0000-0001-5317-968X