ArticleBiostatistics (Oxford, England)2023
A Bayesian framework for incorporating exposure uncertainty into health analyses with application to air pollution and stillbirth.
Article in Biostatistics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Maternal ambient air pollution exposure and risk of stillbirth in Georgia, USA.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- Article
- Modelling spatial heterogeneity in exposure buffers and risk: a hierarchical Bayesian approach.Journal of the Royal Statistical Society. Series C, Applied statistics · 2026Article
- Maternal ambient air pollution exposure and risk of stillbirth in Georgia, USA.medRxiv : the preprint server for health sciences · 2026Article
- Accounting for Exposure Measurement Error in Gridded Air Pollution Estimates in Assessing the Association of PMEnvironmental science & technology · 2026Article
- A scalable two-stage Bayesian approach accounting for exposure measurement error in environmental epidemiology.Biostatistics (Oxford, England) · 2025Article
- bneR: A collaborative workflow for air pollution exposure modeling and uncertainty characterization using the Bayesian Nonparametric Ensemble.Journal of environmental management · 2025Article
- CAUSAL HEALTH IMPACTS OF POWER PLANT EMISSION CONTROLS UNDER MODELED AND UNCERTAIN PHYSICAL PROCESS INTERFERENCE.The annals of applied statistics · 2024Article
- The association of short-term increases in ambient PM2.5 and temperature exposures with stillbirth: racial/ethnic disparities among Medicaid recipients.American journal of epidemiology · 2024Article
- A scaled kernel density estimation prior for dynamic borrowing of historical information with application to clinical trial design.Statistics in medicine · 2024Article
- Exposure-response associations between chronic exposure to fine particulate matter and risks of hospital admission for major cardiovascular diseases: population based cohort study.BMJ (Clinical research ed.) · 2024Article
- A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures.Biometrics · 2024Article
- Ambient traffic related air pollution in relation to ovarian reserve and oocyte quality in young, healthy oocyte donors.Environment international · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Studies of the relationships between environmental exposures and adverse health outcomes often rely on a two-stage statistical modeling approach, where exposure is modeled/predicted in the first stage and used as input to a separately fit health outcome analysis in the second stage. Uncertainty in these predictions is frequently ignored, or accounted for in an overly simplistic manner when estimating the associations of interest. Working in the Bayesian setting, we propose a flexible kernel density estimation (KDE) approach for fully utilizing posterior output from the first stage modeling/prediction to make accurate inference on the association between exposure and health in the second stage, derive the full conditional distributions needed for efficient model fitting, detail its connections with existing approaches, and compare its performance through simulation. Our KDE approach is shown to generally have improved performance across several settings and model comparison metrics. Using competing approaches, we investigate the association between lagged daily ambient fine particulate matter levels and stillbirth counts in New Jersey (2011-2015), observing an increase in risk with elevated exposure 3 days prior to delivery. The newly developed methods are available in the R package KDExp.
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