Application of two statistical approaches (Bayesian Kernel Machine Regression and Principal Component Regression) to assess breast cancer risk in association to exposure to mixtures of brominated flame retardants and per- and polyfluorinated alkylated substances in the E3N cohort

BACKGROUND: Brominated flame retardants (BFR) and per- and polyfluorinated alkylated substances (PFAS) are two groups of substances suspected to act as endocrine disruptors. Such substances could therefore be implicated in the occurrence of breast cancer, nevertheless, previous studies have led to i...

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Detalles Bibliográficos
Autores principales: Frenoy, Pauline, Perduca, Vittorio, Cano-Sancho, German, Antignac, Jean-Philippe, Severi, Gianluca, Mancini, Francesca Romana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8881807/
https://www.ncbi.nlm.nih.gov/pubmed/35216589
http://dx.doi.org/10.1186/s12940-022-00840-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8881807/
https://www.ncbi.nlm.nih.gov/pubmed/35216589
http://dx.doi.org/10.1186/s12940-022-00840-4

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