Dr. Hélène JACQMIN-GADDA, PhD, Research Director at Inserm, BIOSTAT Director


Centre de recherche INSERM U1219
Université de Bordeaux – ISPED
146 rue Léo-Saignat
33076 BORDEAUX cedex

Tél : 05 57 57 13 93

Tél : 05 57 57 95 68

Fax : 05 56 24 00 81

Hélène Jacqmin Gadda

Dr. Hélène Jacqmin-Gadda
PhD, BIOSTAT Director

She obtained the Habilitation à Diriger des Recherches (HDR) in Biostatistics in 2002 from Bordeaux University (France).

She is Director of Research at the French National Institute of Health and Medical Research (Inserm) and head of the Biostatistics team from the BPH since 2014.

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Dr. Cécile Proust-Lima
PhD, BIOSTAT Deputy Director

Cécile Proust-Lima is a Director of Research in Biostatistics at the French National Institute of Health and Medical Research (Inserm).


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The main objective of the team is the development of statistical methods for time-dependent data coming from either observational cohort studies, clinical trials or case-control studies with the aim to answer clinical and public health questions regarding chronic diseases: future burden, risk factors, individual prediction, underlying pathological mechanisms, and treatment effects.

Research area

In the past five years the team worked on two main topics: multivariate models for time-dependent data and model-based estimation of public health indicators. Our main domain of research focus on the development of multivariate dynamic models for the analysis of censored time-to-events and/or repeated measures of longitudinal data accounting for complex observation schemes.

These works are motivated by the study of the natural history of chronic diseases such as the Alzheimer disease or the Multi-System Atrophy, the investigation of the impact of time-dependent exposures, or the validation of surrogate markers for clinical trials in cancer research.

Parametric and semiparametric estimation procedures for frailty models for correlated time-to-events, clustered data and/or recurrent events as well as joint models for event times and longitudinal markers were implemented in the R-package Frailtypack. Another field of research regards the extension of mixed models using latent classes and/or latent processes for the analysis of multiple longitudinal outcomes with non-standard distributions in heterogeneous populations.

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Find here all our files


R package for Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints


Estimation of various models for longitudinal and time-to-event data based on latent classes and latent processes


A Parallelized General-Purpose Optimization Based on Marquardt-Levenberg Algorithm


Random Forest with Multivariate Longitudinal Predictors.
R package

2022 Key Publications

Ben-Hassen C, Helmer C, Berr C, Jacqmin-Gadda H. Five-Year Dynamic Prediction of Dementia Using Repeated Measures of Cognitive Tests and a Dependency Scale. Am J Epidemiol. 2022;191(3):453-64.

Castel C, Sommen C, Chatignoux E, Le Strat Y, Alioum A. Bayesian multi-response nonlinear mixed-effect model: application of two recent HIV infection biomarkers. Int J Biostat. 2022;18(2):455-71.

Devaux A, Genuer R, Peres K, Proust-Lima C. Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach. BMC Med Res Methodol. 2022;22(1):188.

Dinart D, Bellera C, Rondeau V. Sample size estimation for cancer randomized trials in the presence of heterogeneous populations. Biometrics. 2022;78(4):1662-73.

Driollet B, Bayer F, Kwon T, Krid S, Ranchin B, Tsimaratos M, et al. Social Deprivation Is Associated With Lower Access to Pre-emptive Kidney Transplantation and More Urgent-Start Dialysis in the Pediatric Population. Kidney Int Rep. 2022;7(4):741-51.

Kuhn J, Olie V, Grave C, Le Strat Y, Bonaldi C, Joly P. Estimating the Future Burden of Myocardial Infarction in France Until 2035: An Illness-Death Model-Based Approach. Clin Epidemiol. 2022;14:255-64.

Le Coent Q, Legrand C, Rondeau V. Time-to-event surrogate endpoint validation using mediation analysis and meta-analytic data. Biostatistics. 2022.

Rouanet A, Avila-Rieger J, Dugravot A, Lespinasse J, Stuckwisch R, Merrick R, et al. How Selection Over Time Contributes to the Inconsistency of the Association Between Sex/Gender and Cognitive Decline Across Cognitive Aging Cohorts. Am J Epidemiol. 2022;191(3):441-52.

Rustand D, Briollais L, Tournigand C, Rondeau V. Two-part joint model for a longitudinal semicontinuous marker and a terminal event with application to metastatic colorectal cancer data. Biostatistics. 2022;23(1):50-68.

Saulnier T, Philipps V, Meissner WG, Rascol O, Traon AP-L, Foubert-Samier A, et al. Joint models for the longitudinal analysis of measurement scales in the presence of informative dropout. Methods. 2022;203:142-51.

View all of the team’s publications in Oskar

Last News

Posted on : 22 Aug 2022

BPH biostatistics' team next seminar intituled "High Dimensional Mediation Analysis" by Prof. Lei Liu on 14 December 2022

Lei Liu is Professor in the Division of Biostatistics at Washington University in St. Louis and associated editor of the revue Stat Med et Biometrics. The seminar will be held in the amphi Louis of ISPED at 3 p.m. on December 14, 2022. Mediation analysis has been commonly used to study the effect of an […]
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Posted on : 22 Aug 2022

Quentin Le Coënt PhD thesis defense entitled “Development of methods for surrogate endpoints validation : comparison of causal and non causal approaches for meta-analytic data”

Quentin Le Coënt, doctoral student at the BPH, is pleased to invite you to his PhD thesis defense in Public Health, option biostatistics conducted under the supervision of Virginie Rondeau (BPH, Biostatistics team) and Catherine Legrand (UCLouvain).  The defense will be held on December 14, 2022, starting at 11am, in room Module 2.6 / CROUS on campus Carreire.  […]
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If you are interested by research in Biostatistics and more generally Statistics applied to health, send a motivated application to Our biostatistics team welcomes interns, PhD students and postdoctoral researchers each year.