Evidence map›Paper›PMID 25532525›Full record

ArticleBiostatistics (Oxford, England)2015

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

Jennifer F Bobb, Linda Valeri, Birgit Claus Henn, David C Christiani, Robert O Wright, Maitreyi Mazumdar, John J Godleski, Brent A Coull

Open access · bronzeAbstract read
In one paragraph

Article in Biostatistics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 793 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
793citing papers in PubMed, 2 pooled it
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

793 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1,713 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Mixture of organic pollutants is associated with cognitive aging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

733 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Jennifer F BobbDepartment of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA jbobb@hsph.harvard.edu.
Linda ValeriDepartment of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA.
Birgit Claus HennDepartment of Environmental Health, Harvard School of Public Health, Landmark Center, 401 Park Drive, Boston, MA 02215, USA.
David C ChristianiDepartment of Environmental Health, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA.
Robert O WrightMount Sinai Hospital, 17 East 102 Street Floor 3, West Room D3-110, New York, NY 10029, USA.
Maitreyi MazumdarDepartment of Environmental Health, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA.
John J GodleskiDepartment of Environmental Health, Harvard School of Public Health, Landmark Center, 401 Park Drive, Boston, MA 02215, USA.
Brent A CoullDepartment of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA.
Harvard University · USMount Sinai Hospital · US

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Brent Andrew Coull · 1985 to 2026
$44.6M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2014 to 2026
$21.3M
Stress, Lead, Iron Deficiency and NeurodevelopmentR01ES013744 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2007 to 2026
$13.4M
GRADUATE TRAINING IN BIOSTATISTICST32ES007142 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Brent Andrew Coull · 1985 to 2026
$11.9M
Superfund Metal Mixtures, Biomarkers and NeurodevelopmentP42ES016454 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BELLINGER, DAVID C · 2010 to 2015
$10.1M
BPA, Phthalates & Stress: Mechanisms and Interactions for Childhood ObesityR01ES021357 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BACCARELLI, ANDREA, WRIGHT, ROBERT O · 2012 to 2016
$3.3M
Metal Mixtures and NeurodevelopmentR01ES014930 · NIEHS · BRIGHAM AND WOMEN'S HOSPITAL · PI WRIGHT, ROBERT O · 2006 to 2010
$3.2M
Environment, Fetal Tissue DNA Methylation & BirthweightR01ES020268 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BACCARELLI, ANDREA, WRIGHT, ROBERT O · 2011 to 2013
$2.5M
Metal mixtures, children's cognition, and sensitive developmental windowsR00ES022986 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CLAUS HENN, BIRGIT GUNHILD · 2015 to 2017
$747k
Neurodevelopmental Effects of Early Life Arsenic ExposureK23ES017437 · NIEHS · BOSTON CHILDREN'S HOSPITAL · PI MAZUMDAR, MAITREYI · 2009 to 2013
$735k
Vulnerability and Adaptation to Heat and Air Pollution in a Changing ClimateR21ES022585 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI DOMINICI, FRANCESCA · 2014 to 2015
$454k
C KINASE REGULATION--LIPIDS, TUMOR PROMOTERS, AND TOXINSK11ES000155 · NIEHS · DUKE UNIVERSITY · PI HANNUN, YUSUF AWNI · 1985 to 1989
–
NIEHS NIH HHS ES000002NIEHS NIH HHS ES007142NIEHS NIH HHS ES013744NIEHS NIH HHS ES014930NIEHS NIH HHS ES0155NIEHS NIH HHS ES016454NIEHS NIH HHS ES017437NIEHS NIH HHS K23 ES017437NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P30 ES023515NIEHS NIH HHS P42 ES016454NIEHS NIH HHS R00 ES022986NIEHS NIH HHS R01 ES013744NIEHS NIH HHS R01 ES014930NIEHS NIH HHS R01 ES020268NIEHS NIH HHS R01 ES021357NIEHS NIH HHS R21 ES022585NIEHS NIH HHS T32 ES007142
6 · The paper itself

Abstract

Because humans are invariably exposed to complex chemical mixtures, estimating the health effects of multi-pollutant exposures is of critical concern in environmental epidemiology, and to regulatory agencies such as the U.S. Environmental Protection Agency. However, most health effects studies focus on single agents or consider simple two-way interaction models, in part because we lack the statistical methodology to more realistically capture the complexity of mixed exposures. We introduce Bayesian kernel machine regression (BKMR) as a new approach to study mixtures, in which the health outcome is regressed on a flexible function of the mixture (e.g. air pollution or toxic waste) components that is specified using a kernel function. In high-dimensional settings, a novel hierarchical variable selection approach is incorporated to identify important mixture components and account for the correlated structure of the mixture. Simulation studies demonstrate the success of BKMR in estimating the exposure-response function and in identifying the individual components of the mixture responsible for health effects. We demonstrate the features of the method through epidemiology and toxicology applications.

Indexed as

Bayes TheoremAnimalsBangladeshBiostatisticsChild, PreschoolDevelopmental DisabilitiesDogsEnvironmental HealthEnvironmental PollutantsFemaleHemodynamicsHumansInfantMachine LearningMetalsModels, StatisticalEnvironmental PollutantsMetalsAir pollutionBayesian variable selectionEnvironmental healthGaussian process regressionMetal mixtures

Identifiers

PMID25532525
PMCPMC5963470
OpenAlexW2321635716

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.