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

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...

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Autores principales:	Lauren Hoskovec, Wande Benka-Coker, Rachel Severson, Sheryl Magzamen, Ander Wilson
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f925bdf3f7c044b49b06db72ddb7f71e
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spelling	oai:doaj.org-article:f925bdf3f7c044b49b06db72ddb7f71e2021-11-25T06:19:24ZModel choice for estimating the association between exposure to chemical mixtures and health outcomes: A simulation study.1932-620310.1371/journal.pone.0249236https://doaj.org/article/f925bdf3f7c044b49b06db72ddb7f71e2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0249236https://doaj.org/toc/1932-6203Challenges 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.Lauren HoskovecWande Benka-CokerRachel SeversonSheryl MagzamenAnder WilsonPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 3, p e0249236 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lauren Hoskovec Wande Benka-Coker Rachel Severson Sheryl Magzamen Ander Wilson Model choice for estimating the association between exposure to chemical mixtures and health outcomes: A simulation study.
description	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.
format	article
author	Lauren Hoskovec Wande Benka-Coker Rachel Severson Sheryl Magzamen Ander Wilson
author_facet	Lauren Hoskovec Wande Benka-Coker Rachel Severson Sheryl Magzamen Ander Wilson
author_sort	Lauren Hoskovec
title	Model choice for estimating the association between exposure to chemical mixtures and health outcomes: A simulation study.
title_short	Model choice for estimating the association between exposure to chemical mixtures and health outcomes: A simulation study.
title_full	Model choice for estimating the association between exposure to chemical mixtures and health outcomes: A simulation study.
title_fullStr	Model choice for estimating the association between exposure to chemical mixtures and health outcomes: A simulation study.
title_full_unstemmed	Model choice for estimating the association between exposure to chemical mixtures and health outcomes: A simulation study.
title_sort	model choice for estimating the association between exposure to chemical mixtures and health outcomes: a simulation study.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/f925bdf3f7c044b49b06db72ddb7f71e
work_keys_str_mv	AT laurenhoskovec modelchoiceforestimatingtheassociationbetweenexposuretochemicalmixturesandhealthoutcomesasimulationstudy AT wandebenkacoker modelchoiceforestimatingtheassociationbetweenexposuretochemicalmixturesandhealthoutcomesasimulationstudy AT rachelseverson modelchoiceforestimatingtheassociationbetweenexposuretochemicalmixturesandhealthoutcomesasimulationstudy AT sherylmagzamen modelchoiceforestimatingtheassociationbetweenexposuretochemicalmixturesandhealthoutcomesasimulationstudy AT anderwilson modelchoiceforestimatingtheassociationbetweenexposuretochemicalmixturesandhealthoutcomesasimulationstudy
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Model choice for estimating the association between exposure to chemical mixtures and health outcomes: A simulation study.

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