34 citations · 48 across the 7 of their papers we have counts for
8 papers · 1 filter
Everything all at once: On choosing an estimand for multi-component environmental exposures
Kara E. Rudolph, Shodai Inose, Nicholas Williams +4
Many research questions -- particularly those in environmental health -- do not involve binary exposures. In environmental epidemiology, this includes multivariate exposure mixture…
Penalized Distributed Lag Interaction Model: Air Pollution, Birth Weight and Neighborhood Vulnerability
Danielle Demateis, Kayleigh P. Keller, David Rojas-Rueda +2
Maternal exposure to air pollution during pregnancy has a substantial public health impact. Epidemiological evidence supports an association between maternal exposure to air pollut…
Comparison of methods for analyzing environmental mixtures effects on survival outcomes and application to a population-based cohort study
Melanie N. Mayer, Arce Domingo-Relloso, Marianthi-Anna Kioumourtzoglou +3
The estimation of the effect of environmental exposures and overall mixtures on a survival time outcome is common in environmental epidemiological studies. While advanced statistic…
Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution
Daniel Mork, Marianthi-Anna Kioumourtzoglou, Marc Weisskopf +2
Children's health studies support an association between maternal environmental exposures and children's birth outcomes. A common goal is to identify critical windows of susceptibi…
On the Interplay Between Exposure Misclassification and Informative Cluster Size
Glen McGee, Marianthi-Anna Kioumourtzoglou, Marc G. Weisskopf +2
In this paper we study the impact of exposure misclassification when cluster size is potentially informative (i.e., related to outcomes) and when misclassification is differential…
Spatially Adaptive Ensemble Learning with Calibrated Predictive Uncertainty
Yanran Li, Jeremiah Zhe Liu, John Paisley +2
Air pollution exposure assessment often uses ensembles of spatio-temporal models, but a critical limitation is that conventional methods use deterministic weights and fail to quant…