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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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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BlackWell Publishing Ltd
2014
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4098103/ https://ncbi.nlm.nih.gov/pubmed/24027094 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5963 |
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