Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures-Reference-Cited by-同舟云学术

Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures

Author:

Bobb Jennifer F.¹,Valeri Linda¹,Claus Henn Birgit²,Christiani David C.³,Wright Robert O.⁴,Mazumdar Maitreyi³,Godleski John J.²,Coull Brent A.¹

Affiliation:

1. Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA

2. Department of Environmental Health, Harvard School of Public Health, Landmark Center, 401 Park Drive, Boston, MA 02215, USA

3. Department of Environmental Health, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA

4. Mount Sinai Hospital, 17 East 102 Street Floor 3, West Room D3-110, New York, NY 10029, USA

Funder

National Institutes of Health

U.S. Environmental Protection Agency (EPA)

Publisher

Oxford University Press (OUP)

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

Reference25 articles.

3. Random forests;Breiman;Machine Learning,2001

4. Unraveling the health effects of environmental mixtures: an NIEHS priority;Carlin;Environmental Health Perspectives,2013

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