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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2014
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| Materias: | |
| 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 |