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ORCIDRodolphe Thiébaut
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2020 – today
- 2024
[j17]Benjamin Hivert
, Denis Agniel, Rodolphe Thiébaut, Boris P. Hejblum:
Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data. Comput. Stat. Data Anal. 193: 107916 (2024)- [j16]Quentin Clairon, Chloé Pasin, Irene Balelli, Rodolphe Thiébaut, Mélanie Prague:
Parameter estimation in nonlinear mixed effect models based on ordinary differential equations: an optimal control approach. Comput. Stat. 39(6): 2975-3005 (2024) - [c4]Thomas Ferté, Dan Dutartre, Boris P. Hejblum, Romain Griffier, Vianney Jouhet, Rodolphe Thiébaut, Pierrick Legrand, Xavier Hinaut:
Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast. ICML 2024 - 2023
- [j15]Quentin Clairon, Mélanie Prague, Delphine Planas, Timothée Bruel, Laurent Hocqueloux, Thierry Prazuck, Olivier Schwartz, Rodolphe Thiébaut, Jérémie Guedj:
Modeling the kinetics of the neutralizing antibody response against SARS-CoV-2 variants after several administrations of Bnt162b2. PLoS Comput. Biol. 19(8) (2023) - 2022
- [j14]Hadrien Lorenzo, Olivier Cloarec, Rodolphe Thiébaut, Jérôme Saracco:
Data-driven sparse partial least squares. Stat. Anal. Data Min. 15(2): 264-282 (2022) - 2021
- [j13]Cédric Colas, Boris P. Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague:
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models. J. Artif. Intell. Res. 71: 479-519 (2021) - 2020
- [i3]Cédric Colas, Boris P. Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague:
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models. CoRR abs/2010.04452 (2020)
2010 – 2019
- 2019
- [c3]Hadrien Lorenzo, Misbah Razzaq, Jacob Odeberg, Pierre-Emmanuel Morange, Jérôme Saracco, David Alexandre, Rodolphe Thiébaut:
High-Dimensional Multi-Block Analysis of Factors Associated with Thrombin Generation Potential. CBMS 2019: 453-458 - [c2]Heli Laarmann, Clayton Hamilton, Arnold Bosman, Rodolphe Thiébaut, Umair A. Shah, Caroline Wood, Patty Kostkova:
The Challenges of Implementing Healthcare Technology and Innovation Across Europe and Beyond: DPH Plenary Session. PDH 2019: 3 - [i2]Hadrien Lorenzo, Jérôme Saracco, Rodolphe Thiébaut:
Supervised Learning for Multi-Block Incomplete Data. CoRR abs/1901.04380 (2019) - [i1]Louis Capitaine, Robin Genuer, Rodolphe Thiébaut:
Fréchet random forests. CoRR abs/1906.01741 (2019) - 2016
- [j12]Benoît Liquet, Pierre Lafaye de Micheaux, Boris P. Hejblum, Rodolphe Thiébaut:
Group and sparse group partial least square approaches applied in genomics context. Bioinform. 32(1): 35-42 (2016) - 2015
- [j11]Boris P. Hejblum, Jason Skinner, Rodolphe Thiébaut:
Time-Course Gene Set Analysis for Longitudinal Gene Expression Data. PLoS Comput. Biol. 11(6) (2015) - [c1]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, Pierre Verger, Anne Cambon-Thomsen, Cristina Masella, Emanuele Lettieri, Paolo Bertele, Marjut Salokannel, Rodolphe Thiébaut, Charles Persoz, Geneviève Chêne, Christian Ohmann:
Proposal for a European Public Health Research Infrastructure for Sharing of health and Medical administrative data (PHRIMA). MedInfo 2015: 1005 - 2014
- [j10]Mélanie Prague, Daniel Commenges, Jérémie Guedj, Julia Drylewicz, Rodolphe Thiébaut:
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]. Comput. Methods Programs Biomed. 113(3): 927 (2014) - [j9]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:
Quantifying and Predicting the Effect of Exogenous Interleukin-7 on CD4+T Cells in HIV-1 Infection. PLoS Comput. Biol. 10(5) (2014) - 2013
- [j8]Mélanie Prague, Daniel Commenges, Jérémie Guedj, Julia Drylewicz, Rodolphe Thiébaut:
NIMROD: A program for inference via a normal approximation of the posterior in models with random effects based on ordinary differential equations. Comput. Methods Programs Biomed. 111(2): 447-458 (2013) - 2012
- [j7]Benoit Liquet, Kim-Anh Lê Cao, Hakim Hocini, Rodolphe Thiébaut:
A novel approach for biomarker selection and theintegration of repeated measures experiments from two assays. BMC Bioinform. 13: 325 (2012) - 2011
- [j6]Daniel Commenges, D. Jolly, Julia Drylewicz, Hein Putter, Rodolphe Thiébaut:
Inference in HIV dynamics models via hierarchical likelihood. Comput. Stat. Data Anal. 55(1): 446-456 (2011) - [j5]Marjet Elemans, Rodolphe Thiébaut, Amitinder Kaur, Becca Asquith:
Quantification of the Relative Importance of CTL, B Cell, NK Cell, and Target Cell Limitation in the Control of Primary SIV-Infection. PLoS Comput. Biol. 7(3) (2011)
2000 – 2009
- 2007
- [j4]Rodolphe Thiébaut, Hélène Jacqmin-Gadda:
Corrigendum to "Mixed models for longitudinal left-censored repeated measures" [Computer Methods and Programs in Biomedicine 74 (2004) 255-260]. Comput. Methods Programs Biomed. 87(1): 78-79 (2007) - [j3]Hélène Jacqmin-Gadda, Solenne Sibillot, Cécile Proust, Jean-Michel Molina, Rodolphe Thiébaut:
Robustness of the linear mixed model to misspecified error distribution. Comput. Stat. Data Anal. 51(10): 5142-5154 (2007) - 2004
- [j2]Rodolphe Thiébaut, Hélène Jacqmin-Gadda:
Mixed models for longitudinal left-censored repeated measures. Comput. Methods Programs Biomed. 74(3): 255-260 (2004) - 2002
- [j1]Rodolphe Thiébaut, Hélène Jacqmin-Gadda, Geneviève Chêne, Catherine Leport, Daniel Commenges:
Bivariate linear mixed models using SAS proc MIXED. Comput. Methods Programs Biomed. 69(3): 249-256 (2002)
Coauthor Index
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