Estimation of linear mixed models with a mixture of distribution for the random effects. - Cécile Proust; Hélène Jacqmin-Gadda (Comput. Methods Programs Biomed., 2005)

Robustness of the linear mixed model to misspecified error distribution. - Hélène Jacqmin-Gadda; Solenne Sibillot; Cécile Proust; Jean-Michel Molina; Rodolphe Thiébaut (Comput. Stat. Data Anal., 2007)

Joint modelling of multivariate longitudinal outcomes and a time-to-event: A nonlinear latent class approach. - Cécile Proust-Lima; Pierre Joly; Jean-François Dartigues; Hélène Jacqmin-Gadda (Comput. Stat. Data Anal., 2009)

Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach. - Anthony Devaux; Robin Genuer; Karine Pérès; Cécile Proust-Lima (CoRR, 2021)

Robust and Efficient Optimization Using a Marquardt-Levenberg Algorithm with R Package marqLevAlg. - Viviane Philipps; Boris P. Hejblum; Mélanie Prague; Daniel Commenges; Cécile Proust-Lima (R J., 2021)

Random Forests for time-fixed and time-dependent predictors: The DynForest R package. - Anthony Devaux; Cécile Proust-Lima; Robin Genuer (CoRR, 2023)