Biography:
Cécile Chauvel is a researcher in biostatistics and data science at the Center of Excellence on Respiratory Pathogens (UCBL, HCL and CIRI) created in 2022. After training in theoretical statistics and holding a doctorate in biostatistics from Pierre et Marie Curie (Sorbonne University), her professional career was spent into various organizations in the private and public sectors. Her current work focuses on the modeling of epidemiological data in the field of acute respiratory infections, in particular to search for risk factors associated with these infections or to model epidemic dynamics.
List of publications:
Dessemon J, Perol O, Chauvel C, Noelle H, Coudon T, Grassot L, Foray N, Belladame E, Fayette J, Fournie F, Swalduz A, Neidhart E-M, Saintigny P, Tabutin M, Boussageon M, Gomez F, Avrillon V, Perol M, Charbotel B and Fervers B . Survival of bronchopulmonary cancers according to radon exposure. Front. Public Health. 2024;11:1306455
C. Chauvel, A. Novoloaca, P. Veyre, F. Reynier, J. Becker (2020), Evaluation of integrative clustering methods for the analysis of multi-omics data. Briefings in Bioinformatics, vol 21, no 2, 541–552
Y. Bounab, K. Eyer, S. Dixneuf, et al. (2020), Dynamic single-cell phenotyping of immune cells using the microfluidic platform DropMap. Nature Protocols, vol 15,n2920–2955
C. Chauvel, and J. O’Quigley (2017), Survival model construction guided by fit and predictive strength. Biometrics, 73: 483-494
C. Chauvel, J. Dauxois, L. Doyen and O. Gaudoin (2016), Parametric Bootstrap Goodness-of-Fit Tests for Imperfect Maintenance Models. IEEE Transactions on Reliability, vol 65, no. 3, 1343-1
C. Chauvel, J. O’Quigley (2014), Tests for comparing estimated survival functions. Biometrika, vol 101, no. 3, 535–552