The identification of complex interactions in epidemiology and toxicology: a simulation study of boosted regression trees

BACKGROUND: There is a need to evaluate complex interaction effects on human health, such as those induced by mixtures of environmental contaminants. The usual approach is to formulate an additive statistical model and check for departures using product terms between the variables of interest. In th...

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Detalles Bibliográficos
Autores principales: Lampa, Erik, Lind, Lars, Lind, P Monica, Bornefalk-Hermansson, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4120739/
https://www.ncbi.nlm.nih.gov/pubmed/24993424
http://dx.doi.org/10.1186/1476-069X-13-57

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4120739/
https://www.ncbi.nlm.nih.gov/pubmed/24993424
http://dx.doi.org/10.1186/1476-069X-13-57

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