34 citations · 46 across the 6 of their papers we have counts for
10 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…
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…