A Multi-Individual Pharmacokinetic Model Framework for Interpreting Time Trends of Persistent Chemicals in Human Populations: Application to a Postban Situation

BACKGROUND: Human milk and blood are monitored to detect time trends of persistent organic pollutants (POPs) in humans. It is current practice to use log-linear regression to fit time series of averaged cross-sectional biomonitoring data, here referred to as cross-sectional trend data (CSTD). OBJECT...

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Detalles Bibliográficos
Autores principales: Ritter, Roland, Scheringer, Martin, MacLeod, Matthew, Schenker, Urs, Hungerbühler, Konrad
Formato: Texto
Lenguaje:English
Publicado: National Institute of Environmental Health Sciences 2009
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2721873/
https://www.ncbi.nlm.nih.gov/pubmed/19672409
http://dx.doi.org/10.1289/ehp.0900648

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2721873/
https://www.ncbi.nlm.nih.gov/pubmed/19672409
http://dx.doi.org/10.1289/ehp.0900648

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