136 citations · 175 across the 11 of their papers we have counts for
6 papers · 1 filter
Integrating Biological Knowledge in Kernel-Based Analyses of Environmental Mixtures and Health
Glen McGee, Ander Wilson, Brent A Coull +1
A key goal of environmental health research is to assess the risk posed by mixtures of pollutants. As epidemiologic studies of mixtures can be expensive to conduct, it behooves res…
Multiple exposure distributed lag models with variable selection
Joseph Antonelli, Ander Wilson, Brent Coull
Distributed lag models are useful in environmental epidemiology as they allow the user to investigate critical windows of exposure, defined as the time period during which exposure…
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…
Bayesian Wavelet-packet Historical Functional Linear Models
Mark J. Meyer, Elizabeth J. Malloy, Brent A. Coull
Historical Functional Linear Models (HFLM) quantify associations between a functional predictor and functional outcome where the predictor is an exposure variable that occurs befor…
Adaptive Ensemble Learning of Spatiotemporal Processes with Calibrated Predictive Uncertainty: A Bayesian Nonparametric Approach
Jeremiah Zhe Liu, John Paisley, Marianthi-Anna Kioumourtzoglou +1
Ensemble learning is a mainstay in modern data science practice. Conventional ensemble algorithms assign to base models a set of deterministic, constant model weights that (1) do n…
Bayesian data fusion for unmeasured confounding
Leah Comment, Brent A. Coull, Corwin Zigler +1
Bayesian causal inference offers a principled approach to policy evaluation of proposed interventions on mediators or time-varying exposures. We outline a general approach to the e…