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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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2021-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0249236&type=printable |
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| 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 |
| collection | DOAJ |
| 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 |
| id | doaj-art-f925bdf3f7c044b49b06db72ddb7f71e |
| institution | DOAJ |
| issn | 1932-6203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-f925bdf3f7c044b49b06db72ddb7f71e2025-08-20T03:00:49ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01163e024923610.1371/journal.pone.0249236Model choice for estimating the association between exposure to chemical mixtures and health outcomes: A simulation study.Lauren HoskovecWande Benka-CokerRachel SeversonSheryl MagzamenAnder WilsonChallenges 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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0249236&type=printable |
| spellingShingle | 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. PLoS ONE |
| title | 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_short | 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 |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0249236&type=printable |
| work_keys_str_mv | AT laurenhoskovec modelchoiceforestimatingtheassociationbetweenexposuretochemicalmixturesandhealthoutcomesasimulationstudy AT wandebenkacoker modelchoiceforestimatingtheassociationbetweenexposuretochemicalmixturesandhealthoutcomesasimulationstudy AT rachelseverson modelchoiceforestimatingtheassociationbetweenexposuretochemicalmixturesandhealthoutcomesasimulationstudy AT sherylmagzamen modelchoiceforestimatingtheassociationbetweenexposuretochemicalmixturesandhealthoutcomesasimulationstudy AT anderwilson modelchoiceforestimatingtheassociationbetweenexposuretochemicalmixturesandhealthoutcomesasimulationstudy |