Biostatistics

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

Details

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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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.

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Software

Find here all our files

FRAILTYPACK

R package for Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints
https://cran.r-project.org/web/packages/frailtypack/index.html

https://github.com/socale/frailtypack

LCMM


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

https://cecileproust-lima.github.io/lcmm/

https://github.com/CecileProust-Lima/lcmm

marqLevAlg

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/

DynForest

Random Forest with Multivariate Longitudinal Predictors.
R package

https://github.com/anthonydevaux/DynForest

https://cran.r-project.org/web/packages/DynForest/index.html

2023 Key Publications

Alencar de Pinho N, Prezelin-Reydit M, Harambat J, Couchoud C, Glaudet F, Combe C, Rondeau V, Leffondre K. Arteriovenous access creation and hazards of hospitalization and death in patients starting hemodialysis. Nephrol Dial Transplant. 2023. https://doi.org/10.1093/ndt/gfad251

Chauvet J, Rondeau V. A flexible class of generalized joint frailty models for the analysis of survival endpoints. Stat Med. 2023;42(8):1233-62. https://doi.org/10.1002/sim.9667

Devaux A, Helmer C, Genuer R, Proust-Lima C. Random survival forests with multivariate longitudinal endogenous covariates. Stat Methods Med Res. 2023;32(12):2331-46. https://doi.org/10.1177/09622802231206477

Jacqmin-Gadda H, Philipps V, Guillet F, Tzourio C, Helmer C, Joly P. Impact of interventions scenarios targeting three main vascular risk factors on the future burden of dementia in France. Eur J Epidemiol. 2023;38(4):435-43. https://doi.org/10.1007/s10654-023-00974-w

Le Bourdonnec K, Samieri C, Tzourio C, Mura T, Mishra A, Tregouet D-A, Proust-Lima C. Addressing unmeasured confounders in cohort studies: Instrumental variable method for a time-fixed exposure on an outcome trajectory. Biom J. 2023:e2200358. https://doi.org/10.1002/bimj.202200358

Le Coent Q, Legrand C, Rondeau V. Time-to-event surrogate endpoint validation using mediation analysis and meta-analytic data. Biostatistics. 2023;25(1):98-116. https://doi.org/10.1093/biostatistics/kxac044

Le Gall L, Harambat J, Combe C, Philipps V, Proust-Lima C, Dussartre M, Drueke T, Choukroun G, Fouque D, Frimat L, Jacquelinet C, Laville M, Liabeuf S, Pecoits-Filho R, Massy ZA, Stengel B, Alencar de Pinho N, Leffondre K, Prezelin-Reydit M, group C-Rs. Haemoglobin trajectories in chronic kidney disease and risk of major adverse cardiovascular events. Nephrol Dial Transplant. 2023. https://doi.org/10.1093/ndt/gfad235

Proust-Lima C, Saulnier T, Philipps V, Traon AP-L, Peran P, Rascol O, Meissner WG, Foubert-Samier A. Describing complex disease progression using joint latent class models for multivariate longitudinal markers and clinical endpoints. Stat Med. 2023;42(22):3996-4014. https://doi.org/10.1002/sim.9844

Rustand D, van Niekerk J, Krainski ET, Rue H, Proust-Lima C. Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations. Biostatistics. 2023. https://doi.org/10.1093/biostatistics/kxad019

Valeri L, Proust-Lima C, Fan W, Chen JT, Jacqmin-Gadda H. A multistate approach for the study of interventions on an intermediate time-to-event in health disparities research. Stat Methods Med Res. 2023;32(8):1445-60. https://doi.org/10.1177/09622802231163331

View all of the team’s publications in Oskar

Last News

Posted on : 16 Nov 2023

BIOSTATISTICS SEMINAR : Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations used in neuronal modeling
- Quentin CLAIRON

Seminars
BIOSTATISTICS SEMINAR Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations used in neuronal modeling 13h Nightingale Room- Isped Campus Carreire – Université de Bordeaux A joint work with Adeline LECLERCQ-SAMSON Open to all, in person, in English Speaker: Quentin CLAIRON University of Bordeaux, Inria Bordeaux Sud-Ouest, Inserm, Bordeaux Population Health Research […]
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Posted on : 08 Nov 2023

BIOSTATISTICS SEMINAR: Complex Heterogeneity in the Utility of a Surrogate Marker
- Rebecca KNOWLTON

Seminars
BIOSTATISTICS SEMINAR Complex Heterogeneity in the Utility of a Surrogate Marker 13h Nightingale Room- Isped Campus Carreire – Université de Bordeaux Open to all, in person. Speaker: Rebecca KNOWLTON University of Texas, Austin, USA. More information about Rebecca KNOWLTON Abstract: For clinical trials that typically require lengthy or invasive follow-up procedures, the identification and evaluation […]
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Posted on : 10 Jul 2023

A publication on the association between Sex/Gender and Cognitive Decline won the 2023 Publication of the Year Award

Press
A publication on the association between Sex/Gender and Cognitive Decline won the 2023 Publication of the Year Award On behalf of the International Society to Advance Alzheimer’s Research and Treatment Design and Data Analytics PIA, the publication titled ‘How Selection Over Time Contributes to the Inconsistency of the Association Between Sex/Gender and Cognitive Decline Across […]
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Carreer

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.