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Modeling exposure–lag–response associations with distributed lag non-linear models

In biomedical research, a health effect is frequently associated with protracted exposures of varying intensity sustained in the past. The main complexity of modeling and interpreting such phenomena lies in the additional temporal dimension needed to express the association, as the risk depends on b...

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Detalles Bibliográficos
Autor principal: Gasparrini, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4098103/
https://www.ncbi.nlm.nih.gov/pubmed/24027094
http://dx.doi.org/10.1002/sim.5963