Bivariate linear mixed models using SAS proc MIXED. - Rodolphe Thiébaut; Hélène Jacqmin-Gadda; Geneviève Chêne; Catherine Leport; Daniel Commenges (Comput. Methods Programs Biomed., 2002)

Mixed models for longitudinal left-censored repeated measures. - Rodolphe Thiébaut; Hélène Jacqmin-Gadda (Comput. Methods Programs Biomed., 2004)

Corrigendum to "Mixed models for longitudinal left-censored repeated measures" [Computer Methods and Programs in Biomedicine 74 (2004) 255-260]. - Rodolphe Thiébaut; Hélène Jacqmin-Gadda (Comput. Methods Programs Biomed., 2007)

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)

Inference in HIV dynamics models via hierarchical likelihood. - Daniel Commenges; D. Jolly; Julia Drylewicz; Hein Putter; Rodolphe Thiébaut (Comput. Stat. Data Anal., 2011)

Quantification of the Relative Importance of CTL, B Cell, NK Cell, and Target Cell Limitation in the Control of Primary SIV-Infection. - Marjet Elemans; Rodolphe Thiébaut; Amitinder Kaur; Becca Asquith (PLoS Comput. Biol., 2011)

A novel approach for biomarker selection and theintegration of repeated measures experiments from two assays. - Benoit Liquet; Kim-Anh Lê Cao; Hakim Hocini; Rodolphe Thiébaut (BMC Bioinform., 2012)

NIMROD: A program for inference via a normal approximation of the posterior in models with random effects based on ordinary differential equations. - Mélanie Prague; Daniel Commenges; Jérémie Guedj; Julia Drylewicz; Rodolphe Thiébaut (Comput. Methods Programs Biomed., 2013)

Erratum to "NIMROD: A program for inference via normal approximation of the posterior in models with random effects based on ordinary differential equations" [Comput. Methods Programs Biomed. 111 (2) (2013) 447-458]. - Mélanie Prague; Daniel Commenges; Jérémie Guedj; Julia Drylewicz; Rodolphe Thiébaut (Comput. Methods Programs Biomed., 2014)

Quantifying and Predicting the Effect of Exogenous Interleukin-7 on CD4+T Cells in HIV-1 Infection. - Rodolphe Thiébaut; Julia Drylewicz; Mélanie Prague; Christine Lacabaratz; Stéphanie Beq; Ana Jarne; Thérèse Croughs; Rafick-Pierre Sekaly; Michael M. Lederman; Irini Sereti; Daniel Commenges; Yves Lévy (PLoS Comput. Biol., 2014)

Proposal for a European Public Health Research Infrastructure for Sharing of health and Medical administrative data (PHRIMA). - Anita Burgun; Dina V. Oksen; Wolfgang Kuchinke; Hans-Ulrich Prokosch; Thomas Ganslandt; Iain E. Buchan; Tjeerd Pieter van Staa; James A. Cunningham; Marianne L. Gjerstorff; Jean-Charles Dufour; Jean-François Gibrat; Macha Nikolski; et al. (MedInfo, 2015)

Time-Course Gene Set Analysis for Longitudinal Gene Expression Data. - Boris P. Hejblum; Jason Skinner; Rodolphe Thiébaut (PLoS Comput. Biol., 2015)

Group and sparse group partial least square approaches applied in genomics context. - Benoît Liquet; Pierre Lafaye de Micheaux; Boris P. Hejblum; Rodolphe Thiébaut (Bioinform., 2016)

High-Dimensional Multi-Block Analysis of Factors Associated with Thrombin Generation Potential. - Hadrien Lorenzo; Misbah Razzaq; Jacob Odeberg; Pierre-Emmanuel Morange; Jérôme Saracco; David Alexandre; Rodolphe Thiébaut (CBMS, 2019)

The Challenges of Implementing Healthcare Technology and Innovation Across Europe and Beyond: DPH Plenary Session. - Heli Laarmann; Clayton Hamilton; Arnold Bosman; Rodolphe Thiébaut; Umair A. Shah; Caroline Wood; Patty Kostkova (PDH, 2019)

Supervised Learning for Multi-Block Incomplete Data. - Hadrien Lorenzo; Jérôme Saracco; Rodolphe Thiébaut (CoRR, 2019)

Fréchet random forests. - Louis Capitaine; Robin Genuer; Rodolphe Thiébaut (CoRR, 2019)

EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models. - Cédric Colas; Boris P. Hejblum; Sébastien Rouillon; Rodolphe Thiébaut; Pierre-Yves Oudeyer; Clément Moulin-Frier; Mélanie Prague (J. Artif. Intell. Res., 2021)

Data-driven sparse partial least squares. - Hadrien Lorenzo; Olivier Cloarec; Rodolphe Thiébaut; Jérôme Saracco (Stat. Anal. Data Min., 2022)

Modeling the kinetics of the neutralizing antibody response against SARS-CoV-2 variants after several administrations of Bnt162b2. - Quentin Clairon; Mélanie Prague; Delphine Planas; Timothée Bruel; Laurent Hocqueloux; Thierry Prazuck; Olivier Schwartz; Rodolphe Thiébaut; Jérémie Guedj (PLoS Comput. Biol., 2023)

Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast. - Thomas Ferté; Dan Dutartre; Boris P. Hejblum; Romain Griffier; Vianney Jouhet; Rodolphe Thiébaut; Pierrick Legrand; Xavier Hinaut (ICML, 2024)

Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data. - Benjamin Hivert; Denis Agniel; Rodolphe Thiébaut; Boris P. Hejblum (Comput. Stat. Data Anal., 2024)

Parameter estimation in nonlinear mixed effect models based on ordinary differential equations: an optimal control approach. - Quentin Clairon; Chloé Pasin; Irene Balelli; Rodolphe Thiébaut; Mélanie Prague (Comput. Stat., 2024)

Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data. - Doudou Zhou; Han Tong; Linshanshan Wang; Suqi Liu; Xin Xiong; Ziming Gan; Romain Griffier; Boris P. Hejblum; Yun-Chung Liu; Chuan Hong; Clara-Lea Bonzel; Tianrun Cai; et al. (CoRR, 2025)