34 citations · 35 across the 6 of their papers we have counts for
6 papers
A Unified Framework for Multiple Exposure Distributed Lag Non-Linear Models for Air Pollution Epidemiology
Tianyi Pan, Hwashin Hyun Shin, Alex Stringer +1
This study quantifies the association between air pollution and mortality in Ontario, Canada. Exposure-response relationships in air pollution epidemiology are complex due to three…
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…
Flexible Marginal Models for Dependent Data
Glen McGee, Alex Stringer
Models for dependent data are distinguished by their targets of inference. Marginal models are useful when interest lies in quantifying associations averaged across a population of…
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…
Bayesian Multiple Index Models for Environmental Mixtures
Glen McGee, Ander Wilson, Thomas F. Webster +1
An important goal of environmental health research is to assess the risk posed by mixtures of environmental exposures. Two popular classes of models for mixtures analyses are respo…
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…