Prediction of treatment effect perception in cosmetics using machine learning.

Salah, Samir; Colomb, Loic; Benize, Amelie-Marie; Cornillon, Celine; Shaiek, Ayet; Charbit, John; Schritz, Anna

Salah, Samir; Colomb, Loic; Benize, Amelie-Marie; Cornillon, Celine; Shaiek, Ayet; Charbit, John; Schritz, Anna.

Affiliation

Salah S; L'Oréal R&D, Chevilly-Larue, France.
Colomb L; L'Oréal R&D, Chevilly-Larue, France.
Benize AM; L'Oréal R&D, Chevilly-Larue, France.
Cornillon C; L'Oréal R&D, Chevilly-Larue, France.
Shaiek A; L'Oréal R&D, Chevilly-Larue, France.
Charbit J; L'Oréal R&D, Chevilly-Larue, France.
Schritz A; Competence Center of Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg.

J Biopharm Stat ; 31(1): 55-62, 2021 01 02.

Article in En | MEDLINE | ID: mdl-32715937

Subject(s)

Cosmetics; Machine Learning; Algorithms; Humans; Perception

Key words

Cosmetics; claim substantiation; clinical evaluation; discrete choice modelling; machine learning; statistics; treatment effect perception

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Full text: 1 Database: MEDLINE Main subject: Cosmetics / Machine Learning Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Biopharm Stat Journal subject: FARMACOLOGIA Year: 2021 Type: Article Affiliation country: France

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