Lagged kernel machine regression for identifying time windows of susceptibility to exposures of complex mixtures

Author:

Liu Shelley H1,Bobb Jennifer F2,Lee Kyu Ha3,Gennings Chris4,Claus Henn Birgit5,Bellinger David6,Austin Christine7,Schnaas Lourdes8,Tellez-Rojo Martha M9,Hu Howard10,Wright Robert O4,Arora Manish4,Coull Brent A11

Affiliation:

1. Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA

2. Biostatistics Unit, Kaiser Permanente Washington Health Research Institute, 1730 Minor Avenue, Seattle, WA 98101, USA

3. Epidemiology and Biostatistics Core, The Forsyth Institute, 245 First Street, Cambridge, MA 02142, USA

4. Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, 17 E. 102nd Street, New York, NY 10029, USA

5. Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, USA

6. Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA

7. Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, 17 East 102nd Street, New York, NY 10029, USA

8. Division of Research in Community Interventions, National Institute of Perinatology, Montes Urales 800, Lomas Virreyes, CP 11000, CDMX, México

9. Center for Nutrition and Health Research, National Institute of Public Health, Universidad No. 655 Colonia Santa María, Ahuacatitlán, Cerrada Los Pinos y Caminera, C.P. 62100, Cuernavaca, Morelos, México

10. Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, ON, M5T 3M7, Canada

11. Department of Biostatistics, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA

Funder

National Institutes of Health

National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

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

Reference37 articles.

1. Scale mixtures of normal distributions;Andrews;Journal of the Royal Statistical Society, Series B (Methodological),1974

2. Teeth as a biomarker of past chemical exposure;Arora;Current Opinion in Pediatrics,2014

3. Determining prenatal, early childhood and cumulative long-term lead exposure using micro-spatial deciduous dentine levels;Arora;PLoS One,2014

4. Very low lead exposures and children’s neurodevelopment;Bellinger;Current Opinion in Pediatrics,2008

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