Measurement error in two‐stage analyses, with application to air pollution epidemiology
AA Szpiro, CJ Paciorek - Environmetrics, 2013 - Wiley Online Library
Public health researchers often estimate health effects of exposures (eg, pollution, diet, and
lifestyle) that cannot be directly measured for study subjects. A common strategy in …
lifestyle) that cannot be directly measured for study subjects. A common strategy in …
Long term effects of traffic noise on mortality in the city of Barcelona, 2004–2007
Numerous studies showing statistically significant associations between environmental
noise and adverse health effects already exist for short-term (over one day at most) and long …
noise and adverse health effects already exist for short-term (over one day at most) and long …
Consequences of kriging and land use regression for PM2. 5 predictions in epidemiologic analyses: insights into spatial variability using high-resolution satellite data
Many epidemiological studies use predicted air pollution exposures as surrogates for true
air pollution levels. These predicted exposures contain exposure measurement error, yet …
air pollution levels. These predicted exposures contain exposure measurement error, yet …
Use of a pooled cohort to impute cardiovascular disease risk factors across the adult life course
A Zeki Al Hazzouri, E Vittinghoff, Y Zhang… - International journal …, 2019 - academic.oup.com
Background In designing prevention strategies, it may be useful to understand how early
and midlife cardiovascular disease risk factor (CVDRF) exposures affect outcomes that …
and midlife cardiovascular disease risk factor (CVDRF) exposures affect outcomes that …
Geostatistical air pollution indexes in spatial hedonic models: the case of Madrid, Spain
G Fernández-Avilés, R Minguez… - Journal of Real Estate …, 2012 - Taylor & Francis
Recent work has shown how spatial econometrics can be applied to a housing-value
hedonic equation that includes air pollution variables. This paper develops a Spatial Durbin …
hedonic equation that includes air pollution variables. This paper develops a Spatial Durbin …
An integrated GIS and hydrochemical approach to assess groundwater contamination in West Ismailia area, Egypt
MO Arnous, AE El-Rayes - Arabian Journal of Geosciences, 2013 - Springer
Groundwater is a very important resource across Ismailia area as it is used in domestic,
agricultural, and industrial purposes. This makes it absolutely necessary that the effects of …
agricultural, and industrial purposes. This makes it absolutely necessary that the effects of …
Uncertainty in spatially predicted covariates: is it ignorable?
In ecology, a common form of statistical analysis relates a biological variable to variables
that delineate the physical environment, typically by fitting a regression model or one of its …
that delineate the physical environment, typically by fitting a regression model or one of its …
Can small-scale agricultural production improve children's health? Examining stunting vulnerability among very young children in Mali, West Africa
Stunting affects an individual's educational and wage-earning potential and can even affect
the next generation of children. Most research of childhood stunting focuses on the …
the next generation of children. Most research of childhood stunting focuses on the …
Bayesian hierarchical models for spatially misaligned data in R
Spatial misalignment occurs when at least one of multiple outcome variables is missing at
an observed location. For spatial data, prediction of these missing observations should be …
an observed location. For spatial data, prediction of these missing observations should be …
[PDF][PDF] Bayesian Gaussian models for point referenced spatial and spatio-temporal data
When data is correlated both spatially and temporally, spatial and spatio-temporal modelling
is useful for meaningful interpretation of the parameters of the covariates and for reliable …
is useful for meaningful interpretation of the parameters of the covariates and for reliable …