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Peer-reviewed papers



Hoffmann S., Rage E., Laurier D.,  Laroche P., Guihenneuc C., Ancelet S. (2016) Accounting for Berkson and classical measurement error in radon exposure assessment using a Bayesian structural approach in the analysis of lung cancer mortality in the French cohort of uranium miners. Radiation Research. Online




SY M., Ancelet S., Henner P, Hurtevent P, Simon-Cornu M. (2015) Foliar interception of radionuclides in dry conditions: a meta-analysis using a Bayesian modeling approach. Journal of Environmental Radioactivity. 147:63-75


Rage E., Caër-Lorho S., Drubay D., Ancelet S., Laroche P., Laurier D.  (2015) Mortality analyses in the updated French cohort of uranium miners (1946-2007). International Archives of Occupational and Environmental Health. 88(6):717-30




Drubay D., Ancelet S., Acker A., Kreuzer M., Laurier D., Rage E.  (2014) Kidney cancer mortality and ionizing radiation among French and German uranium miners. Radiation and Environmental Biophysics. 53(3): 505-513

Journy N., Ancelet S., Rehel J.L., Mezzaroba M., Aubert B., Dominique L., Bernier M.O. (2014) Predicted cancer risks induced by computed tomography examinations during childhood, by a quantitative risk assessment approach. Radiation and Environmental Biophysics. 53(1):39-54




Lecomte J.B., Benoit H.P., Ancelet S., Etienne M.P., Bel L., Parent E. (2013) Compound Poisson-Gamma versus Delta-Gamma to handle zero-inflated continuous data under a variable sampling volume. Methods in Ecology and Evolution. 4(12): 1159-1166


Laurent O., Ancelet S., Richardson D., Hémon D., Ielsch G., Demoury C., Clavel  J., Laurier D. (2013) Potential impacts of radon, terrestrial gamma and cosmic rays on childhood  leukemia in France : a quantitative risk assessment. Radiation and Environmental Biophysics. 52(2):195-209

Rigaux C., Ancelet S., Carlin F., Nguyen-thé C., Albert I. (2013) Inferring an augmented Bayesian network to confront a complex quantitative microbial risk assessment model with durability studies: Application to Bacillus cereus on a courgette purée production chain.  Risk Analysis. 33(5):877-92.




Troude P., Ancelet S.,  Guibert J., Pouly J.L., Bouyer J., De la Rochebrochard E. (2012) Joint modeling of success and treatment discontinuation in in vitro fertilization programs : a retrospective cohort study.  BMC Pregnancy & Childbirth. 12:77

Ancelet S., Abellan J., Richardson S., Vilas Del Rio V., Birch C. (2012) Bayesian spatial shared-component models to combine and borrow strength across related disease surveillance sources. The Biometrical Journal. Volume 54, Issue 3, Page 385-404




Vilas Del Rio V., Ancelet S., Abellan J., Birch C., Richardson S. (2010). A Bayesian hierarchical analysis to compare classical and atypical scrapie surveillance data: Wales 2002-2006. Preventive Veterinary Medicine. Volume 98, Issues 1, Page 29-38

Ancelet S., Etienne M.P., Benoît H., Parent E. (2010). Modelling spatial zero-inflated continuous data with an exponentially compound Poisson process. Environmental and Ecological Statistics Volume 17, Issue 3, Page 347 [preprint]




Ancelet S., François O., Guillot G. (2007). Hidden Markov Random   Fields and  the Genetic Structure of the Scandinavian Brown Bear Population. Journal de la SFdS [preprint]




François O., Ancelet S., Guillot G. (2006). Bayesian Clustering using Hidden Markov Random Fields in Spatial Population Genetics. Genetics 174: 805–816




Collectif BIOBAYES: Albert I., Ancelet S., David O., Denis J.B., Makowski D., Parent E., Soubeyrand S. (2015) Méthodes statistiques bayésiennes. Bases théoriques et applications en alimentation, environnement et génétique. ELLIPSES, ISBN : 978234000501



Last Updated on Tuesday, 24 January 2017 15:10