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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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.

Find out more


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

2021 Key Publications

Carles S, Tadde BO, Berr C, Helmer C, Jacqmin-Gadda H, Carriere I, Proust-Lima C. Dynamic reciprocal relationships between cognitive and functional declines along the Alzheimer’s disease continuum in the prospective COGICARE study. Alzheimers Res Ther. 2021 Sep 3;13(1):148.

Castel C, Sommen C, Strat YL, Alioum A. A multi-state Markov model using notification data to estimate HIV incidence, number of undiagnosed individuals living with HIV, and delay between infection and diagnosis: Illustration in France, 2008-2018. Stat Methods Med Res. 2021 Nov:9622802211032697.

de Courson H, Ferrer L, Barbieri A, Tully PJ, Woodward M, Chalmers J, Tzourio C, Leffondre K. Impact of Model Choice When Studying the Relationship Between Blood Pressure Variability and Risk of Stroke Recurrence. Hypertension. 2021 Nov;78(5):1520-6.
Dinart D, Bellera C, Rondeau V. Sample size estimation for cancer randomized trials in the presence of heterogeneous populations. Biometrics. 2021 Jul 9.

Emura T, Sofeu CL, Rondeau V. Conditional copula models for correlated survival endpoints: Individual patient data meta-analysis of randomized controlled trials. Stat Methods Med Res. 2021 Oct 9:9622802211046390.
Kabore R, Ferrer L, Couchoud C, Hogan J, Cochat P, Dehoux L, Roussey-Kesler G, Novo R, Garaix F, Brochard K, Fila M, Parmentier C, Fournier MC, Macher MA, Harambat J, Leffondre K. Dynamic prediction models for graft failure in paediatric kidney transplantation. Nephrol Dial Transplant. 2021 Apr 26;36(5):927-35.

Philipps VH, Boris P. Prague, Melanie Commenges, Daniel Proust-Lima, Cecile. Robust and Efficient Optimization Using a Marquardt-Levenberg Algorithm with R Package marqLevAlg. R Journal. 2021 Dec;13(2):365-79.

Wagner M, Grodstein F, Leffondre K, Samieri C, Proust-Lima C. Time-varying associations between an exposure history and a subsequent health outcome: a landmark approach to identify critical windows. BMC Med Res Methodol. 2021 Nov 27;21(1):266.

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 Feb 19;191(3):453-64.

Rouanet A, Avila-Rieger J, Dugravot A, Lespinasse J, Stuckwisch R, Merrick R, Anderson E, Long L, Helmer C, Jacqmin-Gadda H, Dufouil C, Judd S, Manly J, Sabia S, Gross A, Proust-Lima C. 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 Feb 19;191(2):441-52.

Consulter toutes les publications de l’équipe dans Oskar


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.