Integrate Dietary Assessments with Biomarker Measurements in Aetiological Models

21.02.2020 11:15 – 12:15

RESEARCH CENTER FOR STATISTICS SEMINAR / ABSTRACT

In nutritional epidemiology, self-reported assessments of dietary exposure are prone to measurement errors, which is responsible for bias in the association between dietary factors and risk of disease. In this study, self-reported dietary assessments were complemented by biomarkers of dietary intake. Dietary and serum measurements of folate and vitamin-B6 from two nested case-control studies within the European Prospective Investigation into Cancer and Nutrition (EPIC) study were integrated in a Bayesian model to explore the measurement error structure of the data, and relate dietary exposures to risk of site-specific cancer. A Bayesian hierarchical model was developed, which included: 1) an exposure model, to define the distribution of unknown true exposure (X); 2) a measurement model, to relate observed assessments, in turn, dietary questionnaires (Q), 24-hour recalls (R) and biomarkers (M) to X measurements; 3) a disease model, to estimate exposures/cancer relationships. The marginal posterior distribution of model parameters was obtained from the joint posterior distribution, using Markov Chain Monte Carlo (MCMC) sampling techniques in JAGS. This challenging developmental work will be described, together with preliminary findings

Lieu

Bâtiment: Uni Mail

Bd du Pont-d'Arve 40
1205 Geneva

Room: M 5220, 5th floor

Organisé par

Faculté d'économie et de management
Research Center for Statistics

Intervenants

Pietro FERRARI, International Agency for Research on Cancer IARC, France

entrée libre

Classement

Catégorie: Séminaire

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www.unige.ch/gsem/en/research/seminars/rcs/

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