78 citations · 267 across the 13 of their papers we have counts for
13 papers
A hierarchical Bayesian model for estimating age-specific COVID-19 infection fatality rates in developing countries
Sierra Pugh, Andrew T. Levin, Gideon Meyerowitz-Katz +6
The COVID-19 infection fatality rate (IFR) is the proportion of individuals infected with SARS-CoV-2 who subsequently die. As COVID-19 disproportionately affects older individuals,…
Incorporating prior information into distributed lag nonlinear models with zero-inflated monotone regression trees
Daniel Mork, Ander Wilson
In environmental health research there is often interest in the effect of an exposure on a health outcome assessed on the same day and several subsequent days or lags. Distributed…
Infinite Hidden Markov Models for Multiple Multivariate Time Series with Missing Data
Lauren Hoskovec, Matthew D. Koslovsky, Kirsten Koehler +4
Exposure to air pollution is associated with increased morbidity and mortality. Recent technological advancements permit the collection of time-resolved personal exposure data. Suc…
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…
Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution
Daniel Mork, Marianthi-Anna Kioumourtzoglou, Marc Weisskopf +2
Children's health studies support an association between maternal environmental exposures and children's birth outcomes. A common goal is to identify critical windows of susceptibi…
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…
Estimating Perinatal Critical Windows of Susceptibility to Environmental Mixtures via Structured Bayesian Regression Tree Pairs
Daniel Mork, Ander Wilson
Maternal exposure to environmental chemicals during pregnancy can alter birth and children's health outcomes. Research seeks to identify critical windows, time periods when the exp…
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…
Treed distributed lag nonlinear models
Daniel Mork, Ander Wilson
In studies of maternal exposure to air pollution a children's health outcome is regressed on exposures observed during pregnancy. The distributed lag nonlinear model (DLNM) is a st…
Bayesian Nonparametric Monotone Regression
Ander Wilson, Jessica Tryner, Christian L'Orange +1
In many applications there is interest in estimating the relation between a predictor and an outcome when the relation is known to be monotone or otherwise constrained due to the p…
Kernel Machine and Distributed Lag Models for Assessing Windows of Susceptibility to Environmental Mixtures in Children's Health Studies
Ander Wilson, Hsiao-Hsien Leon Hsu, Yueh-Hsiu Mathilda Chiu +3
Exposures to environmental chemicals during gestation can alter health status later in life. Most studies of maternal exposure to chemicals during pregnancy have focused on a singl…
Bayesian Distributed Lag Interaction Models to Identify Perinatal Windows of Vulnerability in Children's Health
Ander Wilson, Yueh-Hsiu Mathilda Chiu, Hsiao-Hsien Leon Hsu +3
Epidemiological research supports an association between maternal exposure to air pollution during pregnancy and adverse children's health outcomes. Advances in exposure assessment…
Modeling the effect of temperature on ozone-related mortality
Ander Wilson, Ana G. Rappold, Lucas M. Neas +1
Climate change is expected to alter the distribution of ambient ozone levels and temperatures which, in turn, may impact public health. Much research has focused on the effect of s…