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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

Crossref DOI link: https://doi.org/10.1186/s12940-022-00840-4

Published Online: 2022-02-26

Published Print: 2022-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Frenoy, Pauline

Perduca, Vittorio

Cano-Sancho, German

Antignac, Jean-Philippe

Severi, Gianluca

Mancini, Francesca Romana https://orcid.org/0000-0003-2297-3869
Funding

Funding for this research was provided by:

inserm

institut gustave-roussy

mutuelle générale de l'education nationale

ligue contre le cancer

agence nationale de la recherche

ministere de l'enseignement supérieur, de la recherche et de l'innovation

french national alliance for life and health sciences

institut national du cancer
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Text and Data Mining valid from 2022-02-26

Version of Record valid from 2022-02-26
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Article History

Received: 29 June 2021

Accepted: 16 February 2022

First Online: 26 February 2022

Declarations

:

: The study was approved by the French National Commission for Data Protection and Privacy (ClinicalTrials.gov identifier: NCT03285230). All participants gave written informed consent.

: Not applicable.

: The authors declare that they have no competing interests.

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