78 citations · 95 across the 5 of their papers we have counts for
6 papers
Collapsible Kernel Machine Regression for Exposomic Analyses
Glen McGee, Brent A. Coull, Ander Wilson
An important goal of environmental epidemiology is to quantify the complex health risks posed by a wide array of environmental exposures. In analyses focusing on a smaller number o…
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees
Wenying Deng, Beau Coker, Rajarshi Mukherjee +2
We develop a simple and unified framework for nonlinear variable selection that incorporates uncertainty in the prediction function and is compatible with a wide range of machine l…
A Bayesian hierarchical small-area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial Census data
Emily N Peterson, Rachel C Nethery, Tullia Padellini +6
Small area estimates of population are necessary for many epidemiological studies, yet their quality and accuracy are often not assessed. In the United States, small area estimates…
Bayesian Distributed Lag Interaction Models to Identify Perinatal Windows of Vulnerability in Children's Health
Ander Wilson, Yueh-Hsiu Mathilda Chiu, Hsiao-Hsien Leon Hsu +3
Epidemiological research supports an association between maternal exposure to air pollution during pregnancy and adverse children's health outcomes. Advances in exposure assessment…
Spatial Multiresolution Analysis of the Effect of PM2.5 on Birth Weights
Joseph Antonelli, Joel Schwartz, Itai Kloog +1
Fine particulate matter (PM2.5) measured at a given location is a mix of pollution generated locally and pollution traveling long distances in the atmosphere. Therefore, the identi…
Nonlinear predictive latent process models for integrating spatio-temporal exposure data from multiple sources
Nikolay Bliznyuk, Christopher J. Paciorek, Joel Schwartz +1
Spatio-temporal prediction of levels of an environmental exposure is an important problem in environmental epidemiology. Our work is motivated by multiple studies on the spatio-tem…