
Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution
Children's health studies support an association between maternal enviro...
read it

Bayesian Multiple Index Models for Environmental Mixtures
An important goal of environmental health research is to assess the risk...
read it

Reflection on modern methods: Good practices for applied statistical learning in epidemiology
Statistical learning (SL) includes methods that extract knowledge from c...
read it

FunctiononFunction Regression for the Identification of Epigenetic Regions Exhibiting Windows of Susceptibility to Environmental Exposures
The ability to identify time periods when individuals are most susceptib...
read it

On the Interplay Between Exposure Misclassification and Informative Cluster Size
In this paper we study the impact of exposure misclassification when clu...
read it

Bayesian Waveletpacket Historical Functional Linear Models
Historical Functional Linear Models (HFLM) quantify associations between...
read it

Kernel Machine and Distributed Lag Models for Assessing Windows of Susceptibility to Mixtures of TimeVarying Environmental Exposures in Children's Health Studies
Research has shown that early life exposures to environmental chemicals,...
read it

A Crossvalidated Ensemble Approach to Robust Hypothesis Testing of Continuous Nonlinear Interactions: Application to NutritionEnvironment Studies
Geneenvironment and nutritionenvironment studies often involve testing...
read it

Adaptive Ensemble Learning of Spatiotemporal Processes with Calibrated Predictive Uncertainty: A Bayesian Nonparametric Approach
Ensemble learning is a mainstay in modern data science practice. Convent...
read it

Bayesian data fusion for unmeasured confounding
Bayesian causal inference offers a principled approach to policy evaluat...
read it

Ordinal Probit Functional Regression Models with Application to ComputerUse Behavior in Rhesus Monkeys
Research in functional regression has made great strides in expanding to...
read it

Adaptive and Calibrated Ensemble Learning with Dependent Tailfree Process
Ensemble learning is a mainstay in modern data science practice. Convent...
read it

Bayesian kernel machine causal mediation analysis
Exposure to complex mixtures is a realworld scenario. As such, it is im...
read it

The Role of Body Mass Index at Diagnosis on BlackWhite Disparities in Colorectal Cancer Survival: A Density Regression Mediation Approach
The study of racial/ethnic inequalities in health is important to reduce...
read it

A Variational Inference Algorithm for BKMR in the CrossSectional Setting
The identification of pollutant effects is an important task in environm...
read it

Bayesian variable selection for multidimensional semiparametric regression models
Humans are routinely exposed to mixtures of chemical and other environme...
read it

Bayesian Variable Selection for Multivariate ZeroInflated Models: Application to Microbiome Count Data
Microorganisms play critical roles in human health and disease. It is we...
read it
Brent A. Coull
is this you? claim profile