Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors-Reference-Cited by-同舟云学术

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Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors

Published:2020-03-01 Issue:1 Volume:14 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Antonelli Joseph,Mazumdar Maitreyi,Bellinger David,Christiani David,Wright Robert,Coull Brent

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Link

https://projecteuclid.org/download/pdfview_1/euclid.aoas/1587002674

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Association of dietary mineral mixture with depressive symptoms: A combination of Bayesian approaches;Preventive Medicine;2023-10

3. Prenatal exposures to organophosphate ester metabolite mixtures and children’s neurobehavioral outcomes in the MADRES pregnancy cohort;Environmental Health;2023-09-22

4. A latent functional approach for modeling the effects of multidimensional exposures on disease risk;Statistics in Medicine;2023-08-27

5. Machine Learning Assisted Discovery of Interactions between Pesticides, Phthalates, Phenols, and Trace Elements in Child Neurodevelopment;Environmental Science & Technology;2023-08-18

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