ArticleBiometrics2023
Estimating perinatal critical windows of susceptibility to environmental mixtures via structured Bayesian regression tree pairs.
Article in Biometrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed, 2 citations in OpenAlex.
- Air pollution and autism-like traits: Sensitive periods and joint effects of exposure to sources and constituents of fine particulate matter.Environmental research · 2026Article
- Multi-Tree Model for Precision Environmental Health with Longitudinally Assessed Mixture Exposure.Journal of the Royal Statistical Society. Series C, Applied statistics · 2026Article
- Long-term cumulative associations of annual air pollution exposure and hospitalization with Parkinson's Disease.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- Workflow for Statistical Analysis of Environmental Mixtures.Environmental health perspectives · 2026Review
- Modeling approaches for estimating the effects of risk factors using longitudinal lifecourse exposure data in dementia research.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- Exposure to Metal Mixtures and Childhood Adiposity: An Examination of Periods of Heightened Susceptibility Between Gestation and Late Childhood.Pediatric obesity · 2025Article
- Modeling Joint Health Effects of Environmental Exposure Mixtures With Bayesian Additive Regression Trees.Statistics in medicine · 2025Article
- Smooth and shape-constrained quantile distributed lag models.Biometrics · 2025Article
- Statistical Methods for Chemical Mixtures: A Roadmap for Practitioners Using Simulation Studies and a Sample Data Analysis in the PROTECT Cohort.Environmental health perspectives · 2025Article
- Associations of greenhouse gases, air pollutants and dynamics of scrub typhus incidence in China: a nationwide time-series study.BMC public health · 2025Article
- Structured Bayesian Regression Tree Models for Estimating Distributed Lag Effects: The R Package dlmtree.The R journal · 2025Article
- Environmental Mixtures Analysis (E-MIX) Workflow and Methods Repository.medRxiv : the preprint server for health sciences · 2024Article
- Policy-induced air pollution health disparities: Statistical and data science considerations.Science (New York, N.Y.) · 2024Review
- Prenatal exposure to air pollutant mixtures and birthweight in the upstate KIDS cohort.Environment international · 2024Article
- Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution.Journal of the American Statistical Association · 2024Article
- A review of common statistical methods for dealing with multiple pollutant mixtures and multiple exposures.Frontiers in public health · 2024Review
- Multiple exposure distributed lag models with variable selection.Biostatistics (Oxford, England) · 2023Article
- Bias Amplification and Variance Inflation in Distributed Lag Models Using Low-Spatial-Resolution Data.American journal of epidemiology · 2023Article
- Associations between prenatal and early-life air pollution exposure and lung function in young children: Exploring influential windows of exposure on lung development.Environmental research · 2023Article
- Time-lagged relationships between a decade of air pollution exposure and first hospitalization with Alzheimer's disease and related dementias.Environment international · 2023Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Maternal exposure to environmental chemicals during pregnancy can alter birth and children's health outcomes. Research seeks to identify critical windows, time periods when exposures can change future health outcomes, and estimate the exposure-response relationship. Existing statistical approaches focus on estimation of the association between maternal exposure to a single environmental chemical observed at high temporal resolution (e.g., weekly throughout pregnancy) and children's health outcomes. Extending to multiple chemicals observed at high temporal resolution poses a dimensionality problem and statistical methods are lacking. We propose a regression tree-based model for mixtures of exposures observed at high temporal resolution. The proposed approach uses an additive ensemble of tree pairs that defines structured main effects and interactions between time-resolved predictors and performs variable selection to select out of the model predictors not correlated with the outcome. In simulation, we show that the tree-based approach performs better than existing methods for a single exposure and can accurately estimate critical windows in the exposure-response relation for mixtures. We apply our method to estimate the relationship between five exposures measured weekly throughout pregnancy and birth weight in a Denver, Colorado, birth cohort. We identified critical windows during which fine particulate matter, sulfur dioxide, and temperature are negatively associated with birth weight and an interaction between fine particulate matter and temperature. Software is made available in the R package dlmtree.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.