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

Details
Université de Bordeaux – ISPED
146 rue Léo-Saignat
33076 BORDEAUX cedex
Objectives
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.
Software
Find here all our files
R package for Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints
https://cran.r-project.org/web/packages/frailtypack/index.html
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
https://cran.r-project.org/web/packages/marqLevAlg/index.html
https://github.com/VivianePhilipps/marqLevAlgParallel/
Random Forest with Multivariate Longitudinal Predictors.
R package
https://github.com/anthonydevaux/DynForest
https://cran.r-project.org/web/packages/DynForest/index.html
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.
Last News

BIOSTATISTICS SEMINAR : Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations used in neuronal modeling
Seminars
BIOSTATISTICS SEMINAR: Complex Heterogeneity in the Utility of a Surrogate Marker
- Rebecca KNOWLTON
Seminars

A publication on the association between Sex/Gender and Cognitive Decline won the 2023 Publication of the Year Award
PressMembers
AlioumAmadou
Professeur des Universités en BiostatistiqueBAGHFALAKITaban
Senior ResearcherBarbieriAntoine
Maître de conférencesBercuAriane
Ingénieure en BiostatistiquesCatoirePierre
CourcoulLeonie
DoctoranteDarmignySandrine
Assistante administrativede CoursonHugues
ChercheurDussartreMaris
Ingénieur en BiostatistiquesFaureLéa
Doctorante en ÉpidémiologieGABAUTAuriane
Étudiante en thèseJACQMIN GADDAHélène
Directrice de Recherche InsermJolyPierre
ProfesseurKAZANTZIDISGeorgios
PhD student and BiostatisticianLe BourdonnecKateline
Doctorante en Santé Publique - BiostatistiqueLe GallLisa
PhD student EpidemiologyLe ProvostBlandine
Ingénieur en BiostatistiquesLeffondréKaren
ProfessorNIANGORANBessekon Serge
PhD Student in BiostatisticsPhilippsViviane
Ingénieure d'étudePIERLOTRomain
Ingénieur statisticienProust-LimaCécile
Director of research in BiostatisticsRakezManel
Ph.D. StudentREMIATJustine
Doctorante en Santé Publique - BiostatistiqueRenaudeauValentine
ingénieure d'étudesROBERTMarius
Doctorant en Biostatistiquerondeauvirginie
Directrice de recherche en BiostatistiqueRouanetAnaïs
Maître de conférences en BiostatistiqueSAULNIERTiphaine
PhD student in Biostatistics, Public HealthSégalasCorentin
Post-doctorantSirnaFederico
BiostatisticienCarreer
If you are interested by research in Biostatistics and more generally Statistics applied to health, send a motivated application to sandrine.darmigny@u-bordeaux.fr. Our biostatistics team welcomes interns, PhD students and postdoctoral researchers each year.