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Spatial accessibility and availability measures and statistical properties in the food environment.
When are fetuses and young children most susceptible to soil metal concentrations of arsenic, lead and mercury?
Review of methods for space-time disease surveillance.
A spatial analysis of mental retardation of unknown cause and maternal residence during pregnancy.
Identifying natural and anthropogenic sources of metals in urban and rural soils using GIS-based data, PCA, and spatial interpolation.
Validation of Bayesian kriging of arsenic, chromium, lead, and mercury surface soil concentrations based on internode sampling.
Foot and mouth disease revisited: re-analysis using Bayesian spatial susceptible-infectious-removed models.
Imputational modeling of spatial context and social environmental predictors of walking in an underserved community: the PATH trial.
Bayesian model selection methods in modeling small area colon cancer incidence.
The bivariate combined model for spatial data analysis.
Bayesian spatially dependent variable selection for small area health modeling.
Mind the Scales: Harnessing Spatial Big Data for Infectious Disease Surveillance and Inference.
Addressing geographic confounding through spatial propensity scores: a study of racial disparities in diabetes.
Spatially-explicit survival modeling with discrete grouping of cancer predictors.
Analysis of racial differences in hospital stays in the presence of geographic confounding.
Propensity score matching for multilevel spatial data: accounting for geographic confounding in health disparity studies.
NIMBLE for Bayesian Disease Mapping.