Using the Seychelles child development study to cluster multiple outcomes into domains to improve estimation of the overall effect of mercury on neurodevelopment
| dc.contributor.author | LaLonde, A. | |
| dc.contributor.author | Love, T. | |
| dc.coverage.issue | 1 | cs |
| dc.coverage.volume | 7 | cs |
| dc.date.accessioned | 2019-01-02T13:23:44Z | |
| dc.date.available | 2019-01-02T13:23:44Z | |
| dc.date.issued | 2018 | cs |
| dc.description.abstract | Environmental exposure effects on human development can be small and difficult to detect due to the nature of observational data. In the Seychelles Child Development Study, researchers examined the effect of prenatal methylmercury ex- posure using a battery of tests measuring aspects of child development [18, 20]. We build a multiple outcomes model similar to that of the previous analyses (see [18, 20]); however, our multiple outcomes model makes no assumptions of relation- ships between the testing outcomes. Instead, the nesting of outcomes into domains is a clustering problem we address with a Dirichlet process mixture model imple- mented through a Bayesian MCMC approach [12]. This model provides inference for the methylmercury exposure effect as well as greater insight into the similarities and differences across the outcomes. | en |
| dc.format | text | cs |
| dc.format.extent | 53-62 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Mathematics for Applications. 2018 vol. 7, č. 1, s. 53-62. ISSN 1805-3629 | cs |
| dc.identifier.doi | 10.13164/ma.2018.05 | en |
| dc.identifier.issn | 1805-3629 | |
| dc.identifier.uri | http://hdl.handle.net/11012/137268 | |
| dc.language.iso | en | cs |
| dc.publisher | Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky | cs |
| dc.relation.ispartof | Mathematics for Applications | en |
| dc.relation.uri | http://ma.fme.vutbr.cz/archiv/7_1/ma_7_1_5_lalonde_love_final.pdf | cs |
| dc.rights | © Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky | cs |
| dc.rights.access | openAccess | en |
| dc.subject | Dirichlet process prior, Bayesian, model-based clustering, multivariate linear models | en |
| dc.title | Using the Seychelles child development study to cluster multiple outcomes into domains to improve estimation of the overall effect of mercury on neurodevelopment | en |
| dc.type.driver | article | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.department | Ústav matematiky | cs |
| eprints.affiliatedInstitution.faculty | Fakulta strojního inženýrství | cs |
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