| Year | Degree | Major | Institution | Country/Town |
|---|---|---|---|---|
| 2016 | HDR (Habilitation à Diriger des Recherches) | Statistics | University Claude Bernard | France / Lyon |
| 2006 | PhD | Statistics | University Pierre et Marie Curie | France / Paris |
| 2003 | MSc | Statistics | University Pierre et Marie Curie | France / Paris |
Current Research Projects
The impact of comorbidity on cancer diagnosis and survival (ComoCanS)
H. Freisling (PI), P. Ferrari , M. Jenab, V. Viallon, M. Kvaskoff, A. Fournier
Obesity and cancer risk, and overall and cancer specific mortality among cancer patients: the role of comorbidities (AdCoCanS)
H. Freisling (PI), V. Viallon, M. Kvaskoff, T. Duarte Salles
Composite body shape phenotypes of multiple anthropometric traits and risk of cancer development (ShapeCancer)
H. Freisling (PI), P. Ferrari, V. Viallon, A. Amadou
New environmental/gene interaction detection method for cancer: Study of genetic epidemiology (GEInCan)
O. Bouaziz (PI), V. Viallon, G. Nuel
Selected Publications
Ballout N, Garcia C, Viallon V (2020) Sparse estimation for case–control studies with multiple disease subtypes. Biostatistics
Naudin S, Viallon V, Hashim D, Freisling H, Jenab M, Weiderpass E, Perrier F, McKenzie F, Bueno-de-Mesquita HB, Olsen A, Tjonneland A, Dahm CC, Overvad K, Mancini FR, Rebours V, Boutron-Ruault MC, Katzke V, Kaaks R, Bergmann M, Boeing H, Peppa E, Karakatsani A, Trichopooulo A, Pala V, Masala G, Panico S, Tumino R, Sacerdote C, May AM, van Gils CH, Rylander C, Borch KB, Chirlaque Lopez MD, Sanchez MJ, Ardanaz E, Quiros JR, Amiano Exezarreta P, Sund M, Drake I, Regnér S, Travis RC, Wareham N, Aune D, Riboli E, Gunter MJ, Duell EJ, Brennan P, Ferrari P. (2019) Healthy lifestyle and the risk of pancreatic cancer in the EPIC study. Eur. J. Epidemiol.
Viallon V, Dufournet M. (2017) Re. Collider bias is only a partial explanation for the obesity paradox? Epidemiology, 28(5) e43-e45
Ollier E, Viallon V. (2017) Regression modeling on stratified data with the lasso. Biometrika 104(1) 83-96
Assi N, Fages A, Vineis P, Chadeau-Hyam M, Stepien M, Duarte-Salles T, Byrnes G, Boumaza H, Knüppel S, Kühn T, Palli D, Bamia C, Boshuizen H, Bonet C, Overrad K, Johansson M, Travis RM, Gunter MJ, Lund E, Dossus L, Elena-Herrmann B, Riboli E, Jenab M, Viallon V, Ferrari P. (2015) A statistical framework to model the meeting-in-the-middle principle using metabolomic data: application to hepatocellular carcinoma in the EPIC study. Mutagenesis, 30 743-753
Scientific Societies Membership
Société Française de Statistique (SFdS)
GDR Statistique et Santé
Roles and Responsibilities
Chair of the IARC Statistical Working Group