Estimating perinatal critical windows of susceptibility to environmental mixtures via structured Bayesian regression tree pairs-Reference-Cited by-同舟云学术

Estimating perinatal critical windows of susceptibility to environmental mixtures via structured Bayesian regression tree pairs

Published:2021-10-12 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Mork Daniel¹^ORCID,Wilson Ander²^ORCID

Affiliation:

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

2. Department of Statistics Colorado State University Fort Collins Colorado

Funder

National Science Foundation

National Institute of Environmental Health Sciences

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13568

Reference33 articles.

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

2. Prenatal air pollution exposure induces sexually dimorphic fetal programming of metabolic and neuroinflammatory outcomes in adult offspring

3. Ambient particulate matter and preterm birth or birth weight: a review of the literature

4. The horseshoe estimator for sparse signals

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