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

• Главные авторы: Pauline Frenoy (Автор), Vittorio Perduca (Автор), German Cano-Sancho (Автор), Jean-Philippe Antignac (Автор), Gianluca Severi (Автор), Francesca Romana Mancini (Автор)
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• Опубликовано: BMC, 2022-02-01T00:00:00Z.
• Предметы: article
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Abstract 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...