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View article: Subgroup Analyses and Effect Modification with Bayesian Kernel Machine Regression
Subgroup Analyses and Effect Modification with Bayesian Kernel Machine Regression Open
There is substantial interest in estimating the health effects of exposure to environmental mixtures. Bayesian kernel machine regression (BKMR) has emerged as a popular tool for mixture analyses. The health effects of environmental exposur…
View article: Association between prenatal ambient particulate matter and childhood asthma is modified by community safety and child sex
Association between prenatal ambient particulate matter and childhood asthma is modified by community safety and child sex Open
Studies document independent effects of prenatal air pollution exposure and social environmental factors, including neighborhood safety, on childhood asthma development with documented sex-specific effects. Further research examining these…
View article: Collapsible Kernel Machine Regression for Exposomic Analyses
Collapsible Kernel Machine Regression for Exposomic Analyses Open
An important goal of environmental epidemiology is to quantify the complex health effects posed by a wide array of environmental exposures. In studies of a small number of exposures, flexible models like Bayesian kernel machine regression …
View article: Structured Bayesian Regression Tree Models for Estimating Distributed Lag Effects: The R Package dlmtree
Structured Bayesian Regression Tree Models for Estimating Distributed Lag Effects: The R Package dlmtree Open
When examining the relationship between an exposure and an outcome, there is often a time lag between exposure and the observed effect on the outcome. A common statistical approach for estimating the relationship between the outcome and la…
View article: Smooth and shape-constrained quantile distributed lag models
Smooth and shape-constrained quantile distributed lag models Open
Exposure to environmental pollutants during the gestational period can significantly impact infant health outcomes, such as birth weight and neurological development. Identifying critical windows of susceptibility, which are specific perio…
View article: Distributed Lag Interaction Model with Index Modification
Distributed Lag Interaction Model with Index Modification Open
Epidemiological evidence supports an association between exposure to air pollution during pregnancy and birth and child health outcomes. Typically, such associations are estimated by regressing an outcome on daily or weekly measures of exp…
View article: Distributed lag interaction model with index modification
Distributed lag interaction model with index modification Open
Summary Epidemiological evidence supports an association between exposure to air pollution during pregnancy and birth and child health outcomes. Typically, such associations are estimated by regressing an outcome on daily or weekly measure…
View article: Windows of Susceptibility to Air Pollution During and Surrounding Pregnancy in Relation to Longitudinal Maternal Measures of Adiposity and Lipid Profiles
Windows of Susceptibility to Air Pollution During and Surrounding Pregnancy in Relation to Longitudinal Maternal Measures of Adiposity and Lipid Profiles Open
Pregnancy is a critical window for long-term metabolic programming of fetal effects stemming from airborne particulate matter ≤2.5μm (PM 2.5 ) exposure. Yet, little is known about long-term metabolic effects of PM 2.5 exposure during and s…
View article: A Hierarchical Bayesian Model for Estimating Age‐Specific COVID‐19 Infection Fatality Rates in Developing Countries
A Hierarchical Bayesian Model for Estimating Age‐Specific COVID‐19 Infection Fatality Rates in Developing Countries Open
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, age‐specific IFR estimates are imperative to facilitate co…
View article: Collapsible Kernel Machine Regression for Exposomic Analyses
Collapsible Kernel Machine Regression for Exposomic Analyses Open
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 of exposures within a mixture, flexible models like Bayesian…
View article: Smooth and shape-constrained quantile distributed lag models
Smooth and shape-constrained quantile distributed lag models Open
Exposure to environmental pollutants during the gestational period can significantly impact infant health outcomes, such as birth weight and neurological development. Identifying critical windows of susceptibility, which are specific perio…
View article: dlmtree: Bayesian Treed Distributed Lag Models
dlmtree: Bayesian Treed Distributed Lag Models Open
Description Estimation of distributed lag models (DLMs) based on a Bayesian additive regression trees framework.Includes several extensions of DLMs: treed DLMs and distributed lag mixture models (Mork and Wilson, 2023) ;treed distributed l…
View article: bdlim: Bayesian Distributed Lag Interaction Models
bdlim: Bayesian Distributed Lag Interaction Models Open
Estimation and interpretation of Bayesian distributed lag interaction models (BDLIMs). A BDLIM regresses a scalar outcome on repeated measures of exposure and allows for modification by a categorical variable under four specific patterns o…
View article: Using non-parametric Bayes shrinkage to assess relationships between multiple environmental and social stressors and neonatal size and body composition in the Healthy Start cohort
Using non-parametric Bayes shrinkage to assess relationships between multiple environmental and social stressors and neonatal size and body composition in the Healthy Start cohort Open
Background: Both environmental and social factors have been linked to birth weight and adiposity at birth, but few studies consider the effects of exposure mixtures. Our objective was to identify which components of a mixture of neighborho…
View article: Cumulative Exposures to Environmental and Socioeconomic Risk Factors in Milwaukee County, Wisconsin
Cumulative Exposures to Environmental and Socioeconomic Risk Factors in Milwaukee County, Wisconsin Open
The environmental justice literature demonstrates consistently that low‐income and minority communities are disproportionately exposed to environmental hazards. In this case study, we examined cumulative multipollutant, multidomain, and mu…
View article: Incorporating Prior Information Into Distributed Lag Nonlinear Models With Zero-Inflated Monotone Regression Trees
Incorporating Prior Information Into Distributed Lag Nonlinear Models With Zero-Inflated Monotone Regression Trees Open
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 lag nonlinear models (DLNM) are a well-established statisti…
View article: Estimating cutoff values for diagnostic tests to achieve target specificity using extreme value theory
Estimating cutoff values for diagnostic tests to achieve target specificity using extreme value theory Open
Background Rapidly developing tests for emerging diseases is critical for early disease monitoring. In the early stages of an epidemic, when low prevalences are expected, high specificity tests are desired to avoid numerous false positives…
View article: Penalized distributed lag interaction model: Air pollution, birth weight, and neighborhood vulnerability
Penalized distributed lag interaction model: Air pollution, birth weight, and neighborhood vulnerability Open
Maternal exposure to air pollution during pregnancy has a substantial public health impact. Epidemiological evidence supports an association between maternal exposure to air pollution and low birth weight. A popular method to estimate this…
View article: Sensitive development windows of prenatal air pollution and cognitive functioning in preschool age Mexican children
Sensitive development windows of prenatal air pollution and cognitive functioning in preschool age Mexican children Open
Introduction: Neurotoxicity resulting from air pollution is of increasing concern. Considering exposure timing effects on neurodevelopmental impairments may be as important as the exposure dose. We used distributed lag regression to determ…
View article: Penalized Distributed Lag Interaction Model: Air Pollution, Birth Weight and Neighborhood Vulnerability
Penalized Distributed Lag Interaction Model: Air Pollution, Birth Weight and Neighborhood Vulnerability Open
Maternal exposure to air pollution during pregnancy has a substantial public health impact. Epidemiological evidence supports an association between maternal exposure to air pollution and low birth weight. A popular method to estimate this…
View article: A long and winding road: culture change on data sharing in exposomics
A long and winding road: culture change on data sharing in exposomics Open
Data sharing requires cooperation from data generators (eg, epidemiologists, lab investigators) and data users (eg, epidemiologists, biostatisticians, computer scientists). Data generation and data use in human exposome studies require sig…
View article: Inferring effects of time-varying prenatal exposures on pregnancy loss from live-birth-identified conceptions: A simulation study
Inferring effects of time-varying prenatal exposures on pregnancy loss from live-birth-identified conceptions: A simulation study Open
BACKGROUND AND AIM: Identifying the determinants of pregnancy loss is a critical public health concern. However, it is difficult to enumerate the outcome, and so past studies have been limited to medically-identified losses or small, highl…
View article: Prenatal exposure to wildfire smoke and pregnancy loss in Colorado, USA
Prenatal exposure to wildfire smoke and pregnancy loss in Colorado, USA Open
BACKGROUND AND AIM: Wildfires—which are expected to be larger and more intense due to climate change—pose a threat to human health. Although past studies have shown that exposure to wildfire smoke (WFS) may be associated with adverse birth…
View article: Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution
Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution Open
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 susceptibility-periods during gestation with increased association be…
View article: Cumulative Exposures to Environmental and Socioeconomic Risk Factors in Milwaukee County, Wisconsin
Cumulative Exposures to Environmental and Socioeconomic Risk Factors in Milwaukee County, Wisconsin Open
The environmental justice literature demonstrates consistently that low-income and minority communities are disproportionately exposed to environmental hazards. In this case study, we examined cumulative multipollutant, multidomain, and mu…
View article: A hierarchical Bayesian model for estimating age-specific COVID-19 infection fatality rates in developing countries
A hierarchical Bayesian model for estimating age-specific COVID-19 infection fatality rates in developing countries Open
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, age-specific IFR estimates are imperative to facilitate co…
View article: Incorporating biological knowledge in analyses of environmental mixtures and health
Incorporating biological knowledge in analyses of environmental mixtures and health Open
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 researchers to incorporate prior knowledge about mixtures into…