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09/09/2022
Impacts of Census Differential Privacy for Small-Area Disease Mapping to Monitor Health Inequities
US Census Bureau (USCB) has implemented a new privacy-preserving disclos...
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04/15/2022
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees
We develop a simple and unified framework for nonlinear variable selecti...
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03/31/2022
Integrating Biological Knowledge in Kernel-Based Analyses of Environmental Mixtures and Health
A key goal of environmental health research is to assess the risk posed ...
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02/08/2022
Multilayer Adjusted Cluster Point Process Model: Application to Microbial Biofilm Image Data Analysis
A common problem in spatial statistics tackles spatial distributions of ...
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12/18/2021
A Bayesian hierarchical small-area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennia
Small area estimates of population are necessary for many epidemiologica...
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09/28/2021
Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution
Children's health studies support an association between maternal enviro...
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01/13/2021
Bayesian Multiple Index Models for Environmental Mixtures
An important goal of environmental health research is to assess the risk...
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06/12/2020
Reflection on modern methods: Good practices for applied statistical learning in epidemiology
Statistical learning (SL) includes methods that extract knowledge from c...
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12/13/2019
Function-on-Function 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...
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10/16/2019
On the Interplay Between Exposure Misclassification and Informative Cluster Size
In this paper we study the impact of exposure misclassification when clu...
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06/05/2019
Bayesian Wavelet-packet Historical Functional Linear Models
Historical Functional Linear Models (HFLM) quantify associations between...
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04/29/2019
Kernel Machine and Distributed Lag Models for Assessing Windows of Susceptibility to Mixtures of Time-Varying Environmental Exposures in Children's Health Studies
Research has shown that early life exposures to environmental chemicals,...
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04/24/2019
A Cross-validated Ensemble Approach to Robust Hypothesis Testing of Continuous Nonlinear Interactions: Application to Nutrition-Environment Studies
Gene-environment and nutrition-environment studies often involve testing...
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04/01/2019
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...
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02/27/2019
Bayesian data fusion for unmeasured confounding
Bayesian causal inference offers a principled approach to policy evaluat...
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01/23/2019
Ordinal Probit Functional Regression Models with Application to Computer-Use Behavior in Rhesus Monkeys
Research in functional regression has made great strides in expanding to...
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12/08/2018
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process
Ensemble learning is a mainstay in modern data science practice. Convent...
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11/26/2018
Bayesian kernel machine causal mediation analysis
Exposure to complex mixtures is a real-world scenario. As such, it is im...
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11/16/2018
The Role of Body Mass Index at Diagnosis on Black-White Disparities in Colorectal Cancer Survival: A Density Regression Mediation Approach
The study of racial/ethnic inequalities in health is important to reduce...
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11/06/2018
A Variational Inference Algorithm for BKMR in the Cross-Sectional Setting
The identification of pollutant effects is an important task in environm...
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11/30/2017
Bayesian variable selection for multi-dimensional semiparametric regression models
Humans are routinely exposed to mixtures of chemical and other environme...
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11/01/2017