Evidence map›Paper›PMID 33765068›Full record

ArticlePloS one2021

Model choice for estimating the association between exposure to chemical mixtures and health outcomes: A simulation study.

Lauren Hoskovec, Wande Benka-Coker, Rachel Severson, Sheryl Magzamen, Ander Wilson

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Review
  2. The upside and challenge of getting it wrong.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Methodological Challenges in Spatial and Contextual Exposome-Health Studies.Critical reviews in environmental science and technology · 2023
    Article
  9. Article
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

5 authors.

Lauren HoskovecDepartment of Statistics, Colorado State University, Fort Collins, CO, United states of America.ORCID 0000-0002-9320-8622
Wande Benka-CokerDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, United states of America.
Rachel SeversonDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, United states of America.
Sheryl MagzamenDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, United states of America.
Ander WilsonDepartment of Statistics, Colorado State University, Fort Collins, CO, United states of America.

Funding

Methods for Data Integration and Risk Assessment for Environmental MixturesR01ES028811 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI COULL, BRENT ANDREW, GENNINGS, CHRIS · 2018 to 2021
$1.9M
Assessment of joint effects of pesticides and air pollution in pediatric asthmaK22ES023815 · NIEHS · COLORADO STATE UNIVERSITY · PI MAGZAMEN, SHERYL · 2015 to 2017
$461k
NIEHS NIH HHS K22 ES023815NIEHS NIH HHS R01 ES028811
6 · The paper itself

Abstract

Challenges arise in researching health effects associated with chemical mixtures. Several methods have recently been proposed for estimating the association between health outcomes and exposure to chemical mixtures, but a formal simulation study comparing broad-ranging methods is lacking. We select five recently developed methods and evaluate their performance in estimating the exposure-response function, identifying active mixture components, and identifying interactions in a simulation study. Bayesian kernel machine regression (BKMR) and nonparametric Bayes shrinkage (NPB) were top-performing methods in our simulation study. BKMR and NPB outperformed other contemporary methods and traditional linear models in estimating the exposure-response function and identifying active mixture components. BKMR and NPB produced similar results in a data analysis of the effects of multipollutant exposure on lung function in children with asthma.

Indexed as

Models, StatisticalAir PollutantsAsthmaBayes TheoremChildEnvironmental ExposureForced Expiratory VolumeHumansNitrogen DioxideOzoneParticulate MatterPesticidesAir PollutantsNitrogen DioxideOzoneParticulate MatterPesticides

Identifiers

PMID33765068
PMCPMC7993848

What OpenQuestion holds

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LicenceCC BY
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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.