34 citations · 79 across the 12 of their papers we have counts for
13 papers
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…
Principal Component Pursuit for Pattern Identification in Environmental Mixtures
Elizabeth A. Gibson, Junhui Zhang, Jingkai Yan +7
Environmental health researchers often aim to identify sources/behaviors that give rise to potentially harmful exposures. We adapted principal component pursuit (PCP)-a robust tech…
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…
Integrated causal-predictive machine learning models for tropical cyclone epidemiology
Rachel C. Nethery, Nina Katz-Christy, Marianthi-Anna Kioumourtzoglou +3
Strategic preparedness has been shown to reduce the adverse health impacts of hurricanes and tropical storms, referred to collectively as tropical cyclones (TCs), but its protectiv…
Reflection on modern methods: Good practices for applied statistical learning in epidemiology
Yanelli Nunez, Elizabeth A. Gibson, Eva M. Tanner +4
Statistical learning (SL) includes methods that extract knowledge from complex data. SL methods beyond generalized linear models are being increasingly implemented in public health…
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning
Jeremiah Zhe Liu, John Paisley, Marianthi-Anna Kioumourtzoglou +1
Ensemble learning is a standard approach to building machine learning systems that capture complex phenomena in real-world data. An important aspect of these systems is the complet…
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…
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process
Jeremiah Zhe Liu, John Paisley, Marianthi-Anna Kioumourtzoglou +1
Ensemble learning is a mainstay in modern data science practice. Conventional ensemble algorithms assigns to base models a set of deterministic, constant model weights that (1) do…
Matching on Generalized Propensity Scores with Continuous Exposures
Xiao Wu, Fabrizia Mealli, Marianthi-Anna Kioumourtzoglou +2
In the context of a binary treatment, matching is a well-established approach in causal inference. However, in the context of a continuous treatment or exposure, matching is still…
Causal inference in the context of an error prone exposure: air pollution and mortality
Xiao Wu, Danielle Braun, Marianthi-Anna Kioumourtzoglou +3
We propose a new approach for estimating causal effects when the exposure is measured with error and confounding adjustment is performed via a generalized propensity score (GPS). U…