Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution-Reference-Cited by-同舟云学术

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Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution

Published:2023-09-14 Issue: Volume: Page:1-13
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Mork Daniel¹^ORCID,Kioumourtzoglou Marianthi-Anna²^ORCID,Weisskopf Marc³,Coull Brent A.¹^ORCID,Wilson Ander⁴^ORCID

Affiliation:

1. Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA

2. Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY

3. Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA

4. Department of Statistics, Colorado State University, Fort Collins, CO

Funder

National Institutes of Health

USEPA

National Science Foundation

University of Colorado Boulder

Colorado State University

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2023.2258595

Reference32 articles.

1. Ambient Air Pollution and Low Birth Weight in Connecticut and Massachusetts

2. A Spatio-Temporal Downscaler for Output From Numerical Models

3. Prenatal Nitrate Exposure and Childhood Asthma. Influence of Maternal Prenatal Stress and Fetal Sex

4. BART: Bayesian additive regression trees

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1. Policy-induced air pollution health disparities: Statistical and data science considerations;Science;2024-07-26

2. dlmtree: Bayesian Treed Distributed Lag Models;CRAN: Contributed Packages;2024-05-31

3. Penalized distributed lag interaction model: Air pollution, birth weight, and neighborhood vulnerability;Environmetrics;2024-02

4. Incorporating Prior Information Into Distributed Lag Nonlinear Models With Zero-Inflated Monotone Regression Trees;Bayesian Analysis;2024-01-01

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