Biostatistics

The team develops new models and statistical methods for data from epidemiological studies and clinical trials, with a strong emphasis on cohort data analysis.

Objectives

Our project aims to develop, evaluate and apply statistical methods for the analysis of any kind of health data (cohorts, case-control studies, medico-administrative and hospital data bases…) with the final objective to answer clinical and public health questions regarding all aspects of diseases: future burden, risk factors, individual prediction, disease progression, understanding underlying pathological mechanisms, and evaluating and understanding treatment effects. We are mainly interested in dynamic models accounting for the time-dimension of pathological processes and incomplete or inaccurate data (selection bias, attrition, censoring, truncation, measurement errors…). Thus, we will continue to develop statistical methods for the analysis of complex survival and longitudinal data, while, for the next 5-year period, we will also tackle two main new challenges: causality and big-data issues.

Causal questions are related to our research about the mechanism underlying pathological processes in chronic diseases, the role of some long-term exposure and the impact of social inequalities in health. We will investigate the causal interpretation of the multivariate models we develop (especially joint models for longitudinal data and time-to-event) and we will propose new methods for studying causality for censored time-to-events and/or time-dependent markers or risk factors.

With the opening of administrative and hospital data bases to research as well as technological progress allowing to collect a very large amount of data (genetics, biology, imaging, IoT data), we face an increasing number of predictors, markers and outcomes of different types. The models we have developed so far are quite complex and the estimation procedures are often time-consuming and thus not suitable for huge data sets or high dimensional time-dependent markers or exposures. We will thus develop new biostatistical models and estimation procedures that tackle high-dimensionality issues with the goals of individual risk prediction or understanding of the interdependencies between multiple (pathological and/or exposure) processes.

While each researcher from the team has one or two favorite domains of applications in which he/she has acquired a high level of expertise (Alzheimer’s disease, HIV, cancer and chronic kidney disease), we will open to new health questions related for instance to the progression of MSA, the prediction of cardiovascular risk or the prognosis in neuro-intensive care unit.

Research area

Our projects can be divided into 6 axes:

  • Modeling the progression of chronic diseases

  • Modeling time-dependent exposure

  • Causality

  • Individual dynamic prediction

  • Estimation and projection of Public Health indicators

  • Methods for clinical research

Software

Find here all our files

R packages :

  • 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://cran.r-project.org/web/packages/lcmm/index.html
https://github.com/CecileProust-Lima/lcmm

https://cran.r-project.org/web/packages/marqLevAlg/index.html
https://github.com/VivianePhilipps/marqLevAlgParallel/

Other programs :




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.




Main publications in 2021

2021-1 Acar N, Merle, BMJ, Ajana, S, …, Jacqmin-Gadda H, Bretillon L, Delcourt C for the Biomarkers of LIpid Status And metabolism in Retinal ageing (BLISAR) Study Group. Predicting the retinal content in omega-3 fatty acids for age-related macular-degeneration. Clin Transl Med 2021, 11(7):e404. https://doi.org/10.1002/ctm2.404

2021-2 Ajana S, Cougnard-Grégoire A, Colijn JM, …, Jacqmin-Gadda H*, Klaver C*, Delcourt C*and on behalf of the EYE-RISK Consortium. (*co-last authors). Predicting progression to advanced age-related macular degeneration from clinical, genetic and lifestyle factors using machine learning, Ophtalmology, 2021, 128(4):587-597.

2021-3 Amadou A, Praud D, Coudon T, …, Leffondre K, …, Mancini FR, Fervers B. Risk of breast cancer associated with long-term exposure to Benzo[a]pyrene (BaP) air pollution: Evidence from the French E3N cohort study. Environ Int 2021; 149:106399.

2021-4 Andersen P. K., Pohar Perme M., van Houwelingen H. C., Cook R. J., Joly P., Martinussen T., Taylor J. M. G., Abrahamowicz M. and Therneau T. M., (2021). Analysis of time-to-event for observational studies: Guidance to the use of intensity models. Stat Med. 2021, 40(1): 185-211.

2021-5 Baussard L, Proust-Lima C, Philipps V, Portales F, Ychou M, Mazard T, Cousson-Gélie, F. Determinants of Distinct Trajectories of Fatigue in Patients Undergoing Chemotherapy for a Metastatic Colorectal Cancer: 6-Month Follow-up Using Growth Mixture Modeling. J Pain Symptom Manage. 2021;S0885-3924(21)00398-5.

2021-6 Ben-Hassen, C., Helmer, C., Berr, C., Jacqmin-Gadda, H. 5-year dynamic prediction of dementia using repeated measures of cognitive tests and a dependency scale. Am J Epidemiol, 2021 (online 9/11/2021) https://doi.org/10.1093/aje/kwab269

2021-07 Branchoux S, Ledoux Sofeu C, Gaudin AF, Kurt M, Moshyk A, Italiano A, Bellera C., Rondeau V. Time to next treatment or death as a candidate surrogate end-point for overall survival in advanced melanoma patients treated with immune-checkpoint inhibitors : an insight from the phase iii checkmate 067 trial. ESMO 2021, 7 :100340.

2021-8 Carles, S., Taddé, B. O., Berr, C., Helmer, C., Jacqmin-Gadda, H., Carrière, I., Proust-Lima, C. Dynamic reciprocal relationships between cognitive and functional declines along the Alzheimer’s disease continuum in the prospective COGICARE study. Alz Res Therapy 2021, 13(1), 1-12.

2021-9 Castel C, Sommen C, Le Strat Y, 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;30(11):2382-2398.

2021-10 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. 2021 Aug 13. doi: 10.1515/ijb-2021-0030

2021-11 Chamberlain, J. D., Rouanet, A., Dubois, B., …., Chene G, Dufouil C.& Memento Study group. Investigating the association between cancer and the risk of dementia: Results from the Memento cohort. Alzheimer’s & Dementia 2021, 17(9):1415-1421

2021-12 Chauvet J. and Rondeau V. A flexible class of generalized joint frailty models for the analysis of survival endpoints. Statistics in Medicine, In press, 2021.

2021-13 Cheradame J, Piscione J, Carling C, Guinoiseau J-P, Dufour B, Jacqmin-Gadda H *, Decq Ph * (*co-last authors). Incidence and risk factors in concussion events: A 5-season study in the French Top 14 Rugby Union Championship. Am J Sports Med 2021, https://doi.org/10.1177%2F03635465211006480.

2021-14 Dartigues J-F, Le Bourdonnec K, Tabue-Teguo M, …, Amieva H, Proust-Lima C. Co-Occurrence of Geriatric Syndromes and Diseases in the General Population:Assessment of the Dimensions of Aging. J Nutr Health Aging. 2021, https://doi.org/10.1093/gerona/glx068.

2021-15 de Courson H, Ferrer L, Barbieri A, Tully PJ, Woodward M, Chalmers J, Tzourio C*, Leffondré K* (*co-last authors). Impact of Model Choice When Studying the Relationship Between Blood Pressure Variability and Risk of Stroke Recurrence. Hypertension. 2021;78(5):1520-1526.

2021-16 Deygas F, Amadou A, Coudon T, …, Leffondré K, Fervers B, Praud D. Long-term atmospheric exposure to PCB153 and breast cancer risk in a case-control study nested in the French E3N cohort. Environment Research 2021; 195:110743. https://doi.org/10.1016/j.envres.2021.110743

2021-17 Dinart D, Bellera C, and Rondeau V. Sample size estimation for cancer randomized trials in the presence of heterogeneous populations,. Biometrics, 2021; DOI: 10.1111/biom.13527

2021-18 Driollet B, Bayer F, Kwon T,…, Harambat J*, Leffondré K* (*co-last authors). Social deprivation is associated with lower access to pre-emptive kidney transplantation and more urgent-start dialysis in the pediatric population. Kidney International Reports 2021; https://doi.org/10.1016/j.ekir.2021.12.015

2021-19 Du Preez A, Lefèvre-Arbogast S, Houghton V, …,Proust-Lima C,…, Samieri C, Thuret, S. The serum metabolome mediates the concert of diet, exercise, and neurogenesis, determining the risk for cognitive decline and dementia. Alzheimers Dement 2021; https://doi.org/10.1002/alz.12428

2021-20 Emura T., Sofeu C., and Rondeau V.. Conditional copula models for correlated sur- vival endpoints : individual patient data meta-analysis of randomized controlled trials. Stat Med Res, 2021, 30(12); https://doi.org/10.1177%2F09622802211046390

2021-21 Faucon A-L, Leffondré K, Flamant M, Metzger M, Boffa J-J, Haymann J-P, Houillier P, Thervet E, Vrtovsnik F, Proust‐Lima C, Stengel B, Vidal-Petiot E, Geri G, and the NephroTest study group. Trajectory of extracellular fluid volume over time and subsequent risks of end-stage kidney disease and mortality in chronic kidney disease: a prospective cohort study. J Intern Med 2021;289(2):193 205.

2021-22 Frison E, Proust-Lima C, Mangin J-F, Habert M-O, Bombois S, Ousset P-J, et al. Diabetes Mellitus and Cognition: Pathway Analysis in the MEMENTO Cohort. Neurology. 2021;97(8):e836 48.

2021-23 Jacqmin-Gadda H, Ferrer L, Proust-Lima C. Joint Models for Longitudinal and Time to Event Data. In Handbook of Statistical Methods for Randomized, Controlled Trials. Edit: K Kim, F Bretz, YK Cheung, LV Hampson, Chapman and Hall/ CRC Press, 2021

2021-24 Kaboré R, Ferrer L, Couchoud C, Hogan J, …, Harambat J*, Leffondré K* (*co-last authors). Dynamic prediction models for graft failure in pediatric kidney transplantation. Nephrol Dial Transplant 2021; 36(5):927-935.

2021-25 Lefèvre-Arbogast S, Hejblum BP, Helmer C, …, Proust-Lima C,…., Korosi A, Samieri C. Early signature in the blood lipidome associated with subsequent cognitive decline in the elderly: A case-control analysis nested within the Three-City cohort study. EBioMedicine 2021; 64:103216.

2021-26 Lenain R, Boucquemont J, Leffondré K, Couchoud C, Lassalle M, Hazzan M, Foucher Y. Clinical trial emulation by matching time-dependent propensity scores: The example of estimating impact of kidney transplantation. Epidemiology 2021; 32(2):220-229.

2021-27 Mathieu C, Joly P, Jacqmin-Gadda H, Wanneveich M, Bégaud B, Pariente A. Patterns of Benzodiazepine Use and Excess Risk of All-Cause Mortality in the Elderly: A Nationwide Cohort Study. Drug Saf. 2021, 44(1):53-62.

2021-28 Philipps V, Hejblum BP, Prague M, Commenges D, Proust-Lima C. Robust and Efficient Optimization Using a Marquardt-Levenberg Algorithm with R Package marqLevAlg. The R journal 2021; http://arxiv.org/abs/2009.03840

2021-29 Prezelin-Reydit M, Madden L, Macher MA, …, Leffondré K*, Harambat J* (*co-last authors). Preemptive kidney transplantation is associated with transplantation outcomes in children: results from the French kidney replacement therapy registry. Transplantation 2021; https://doi.org/10.1097/TP.0000000000003757

2021-30 Raynaud M, Aubert O, Reese PP, …, Proust-Lima C,…,.Lefaucheur C, Loupy A. Trajectories of glomerular filtration rate and progression to end stage kidney disease after kidney transplantation. Kidney Int 2021;99(1):186 97.

2021-31 Rouanet A, Avila-Rieger J, Dugravot A, , 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 2021; doi: 10.1093/aje/kwab227

2021-32 Thomas A, Proust-Lima C, Baillet M, Helmer C, Delcourt C, Foubert-Samier A, Catheline G, Feart C, Samieri C. Plasma carotenoids and medial temporal lobe atrophy in older adults. Clin Nutr 2021;40(4):2460 3.

2021-33 Wagner M, Grodstein F, Leffondre K, Samieri C*, Proust-Lima C* (*co-last authors). Time-varying associations between an exposure history and a subsequent health outcome: a landmark approach to identify critical windows. BMC Med Res Methodol 2021;21(1):266

PUBLICATIONS PREPRINT

Devaux A, Genuer R, Pérès K, Proust-Lima C. Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach. ArXiv:210201466. 2 févr 2021
Available at http://arxiv.org/abs/2102.01466

Valeri L, Proust-Lima C, Fan W, Chen JT, Jacqmin-Gadda H. A multistate approach for mediation analysis in the presence of semi-competing risks with application in cancer survival disparities. arXiv:210213252. 25 févr 2021; Available at http://arxiv.org/abs/2102.13252

Saulnier T, Philipps V, Meissner WG, Rascol O, Pavy-Le-Traon A, Foubert-Samier A, et al. Joint models for the longitudinal analysis of measurement scales in the presence of informative dropout. arXiv:211002612. 6 oct 2021; Available at http://arxiv.org/abs/2110.02612

Proust-Lima C, Philipps V, Perrot B, Blanchin M, Sébille V. Modeling repeated self-reported outcome data: a continuous-time longitudinal Item Response Theory model. arXiv:210913064. 28 déc 2021; Abailable at http://arxiv.org/abs/2109.13064

Munsch G, Goumidi L, van Hylckama Vlieg A, Ibrahim-Kosta M, Bruzelius M, Deleuze JF, Rosendaal FR, Jacqmin-Gadda H, Morange PE, Trégouët DA. Modelling of time-to-events in an ambispective study: illustration with the analysis of ABO blood groups on venous throm-bosis recurrence. Available at https://medrxiv.org/cgi/content/short/2021.11.20.21266583v1


Details

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

Tél : +33 (0)5 57 57 13 93
Tél : +33 (0)5 57 57 95 68
Fax : +33 (0)5 56 24 00 81

  • Director :
    Directrice de l’équipe Biostatistique

    University Bordeaux II           HDR                           2002               Biostatistics/Public Health

    University Paris VII                PhD                            1994                Biostatistics

    University Paris VII                Master 2                     1990               Biomathematics

  • Contact : Sandrine Darmigny


News

Members


  • Ahmadou Alioum
    Professeur des Universités en Biostatistique
    Directeur-Adjoint du Collège Sciences de la Santé

    Parcours

    Depuis 2006- : Professeur des Universités en Biostatistique, ISPED, Université de Bordeaux

    1995-2006 : Maître de Conférences en Biostatistique, ISPED, Université Bordeaux Segalen

    1991-1995 : Assistant associé en Biostatistique et Informatique Médicale, Université de Bordeaux II

     

    Titres et diplômes

    2004 :   Habilitation à Diriger des Recherches (HDR) – Biostatistique

    1994 :    Doctorat de l’Université de Bordeaux 2 (Très Honorable avec Félicitations du Jury)

                    Mention Sciences Biologiques et Médicales, Spécialité Biostatistique

    1990 :    DESS de Mathématiques Appliquées, Université Paris 6 (A. Bien)

    1989 :    Maitrise d’Ingénierie Mathématique, Université de Bordeaux I

    1988 :    Licence de Mathématique, Université de Bordeaux I

     

  • Antoine Barbieri
    Maître de conférences
  • Ariane Bercu
    Ingénieure en Biostatistiques

    Licence d’ingénierie mathématiques à l’université de Bordeaux et University College London (UCL). 


    Master 2 en Biostatistiques à l’Institut de Santé Publique, d’Epidémiologie et de Développement (Isped).

  • Jérémy Chéradame
    Doctorant Cifre (FFR)

    Parcours :

    Diplôme d’ingénieur, Ecole Nationale de la Statistique et d’Analyse de l’Information (Ensai)

  • Leonie Courcoul
    Doctorante

    Mes travaux de thèse portent sur la modélisation de l’impact de la variabilité de la pression artérielle sur le risque d’AVC et de démence. Ma thèse est supervisée par Hélène Jacqmin-Gadda et Antoine Barbieri.

     

    • 2021- : Doctorante en Biostatistique – centre de recherche Bordeaux Population Health, équipe Biostatistique
    • 2020-2021 : Master 2 en Bio-informatique, mention bio-informatique pour la santé – université de Rennes 1, en parallèle de l’ENSAI
    • 2018-2021 : Diplôme d’ingénieur en statistique, filière Statistiques pour les Sciences de la Vie – ENSAI, Rennes
    • 2016-2018 : Classes préparatoires aux grandes écoles, MPSI/MP – Lycée Descartes, Tours
  • Sandrine Darmigny
  • Hugues de Courson
    Doctorant

    – Depuis octobre 2018 : Doctorat en Santé Publique, option Épidémiologie sous la Direction des Pr Karen Leffondré et Christrophe Tzourio

    ” Variabilité de la pression artérielle et risque cérébro-vasculaire, confirmation et nouvelles méthodes”

    – 2017-2018 : Master 2 en Épidémiologie à l’ISPED

    – Octobre 2017 : Doctorat en médecine, Spécialité Anesthésie-Réanimation

     

     

  • Anthony Devaux
    PhD Student

    2019-2022 PhD Student in Biostatistics, University of Bordeaux, FRANCE

    • Title : Dynamic modelling and prediction of health events from multivariate longitudinal data
    • Supervisors : Cécile Proust-Lima (Biostatistics Team) and Robin Genuer (SISTM Team)

    2017-2019 MSc in Biostatistics and Public Health, University of Bordeaux, FRANCE

     

     

  • Bénédicte Driollet
    PhD student Epidemiology, Bordeaux Population Health Research Center, LEHA team, INSERM U1219

    EXPERIENCE

    • Sep 2017 – Today : PhD Student, Public Health, Epidemiology surpervised by J. Harambat and K. Leffondré (LEHA team) – Bordeaux Population Health Research Center – INSERM U1219
    • Feb – Aug 2017 : Final year trainee in Epidemiology and Biostatistics (LEHA team) – Bordeaux Population Health Research Center – INSERM U1219
    • Apr – Jun 2016 : Trainee in Epidemiology (Infection Group) – School of Medecine, University of St Andrews, Scotland

    EDUCATION

    • 2015 – 2017 : Master’s degree in Public Health and Epidemiology, Institute of Public Health Epidemiology and Development (ISPED) – University of Bordeaux 
    • 2013 – 2015 : Bachelor’s degree in Applied mathematics in social sciences, major in cognitive sciences- University of Bordeaux
    • 2011-2013 : First year of medical studies – University of Bordeaux
    • 2011 : Baccalauréat in science with honors – Saint Louis Villa Pia High School, Bayonne
  • Helene Jacqmin-Gadda
    Directrice de l’équipe Biostatistique

    University Bordeaux II           HDR                           2002               Biostatistics/Public Health

    University Paris VII                PhD                            1994                Biostatistics

    University Paris VII                Master 2                     1990               Biomathematics

  • Pierre Joly
    Maître de Conférences
  • Johann KUHN
  • Kateline Le Bourdonnec
    Doctorante en Santé Publique – Biostatistique au centre de recherche Bordeaux Population Health

    Présentation :

    Actuellement en deuxième année de thèse, j’effectue mes recherches sur les méthodes statistiques pour l’inférence causale dans les études de cohortes en présence de données longitudinales. Ces différents travaux sont appliqués aux vieillissements de la population.

    Cette thèse est encadrée par Cécile Proust-Lima.

    Cursus :

    • 2020- : Doctorante en Biostatistique – centre de recherche Bordeaux Population Health, équipe Biostat
    • 2018-2020 : Master en Santé Publique – Biostatistique – ISPED, Bordeaux
    • 2015-2018 : Licence MIASHS – Rennes
  • Quentin Le Coënt
    Doctorant

    Depuis octobre 2019 : Doctorat en biostatistiques, Université de Bordeaux

    • “Développement de méthodes pour la validation de critères
      de substitution : comparaison des approches causales et non
      causales pour des données de méta-analyses”
    • Sous la direction de Virginie Rondeau (INSERM, U1219) et Catherine Legrand (UCLouvain)

    2018-2019 : Ingénieur biostatisticien, Institut Curie

    2018 : M2 Biostatistiques, ISUP-UPMC

    2018 : M2 Statistiques, UPMC

     

  • Lisa Le Gall
    PhD Student
    • 2021-2024 : Doctorat en santé publique, mention Epidémiologie, université de Bordeaux 
    • 2020-2021 : Master 2 santé publique, mention Epidémiologie, ISPED, université de Bordeaux
    • 2017 : Doctorat en Médecine 
  • Karen Leffondre
    Professor

    Main degrees

    • 1996: MSc Public Health, Biostatistics concentration, Paris-Sud University
    • 1999: PhD Biostatistics, Paris-Sud University
    • 2014: HDR Public Health, University of Bordeaux

    Main appointements

    • 1999-2003: Post-doc, McGill University, Dep. of Epidemiology and Biostatistics
    • 2003-2008: Assistant Professor, University of Montreal, Dep.of Social and Preventive Medicine
    • 2008-2020: Associate Professor (MCF Section CNU 26), University of Bordeaux, ISPED
    • 2020-: Professor (PR Section CNU 26), University of Bordeaux, ISPED
  • Gaelle Munsch
  • Bessekon Serge NIANGORAN
    Doctorant en Biostatistique au BPH, 3ème année – Biostatisticien au Programme PACCI / CERMIPA, CHU de Treichville (Abidjan, Côte d’Ivoire)

    Depuis Septembre 2019 : Inscrit en doctorat de Biostatistique à l’Université de Bordeaux, centre Bordeaux Population Health (BPH) 

    2016-2017 : Master 2 de Santé Publique spécialité «Biostatistiques», Institut de Santé Publique, d’Epidémiologie et de Développement (ISPED), Université de Bordeaux, Bordeaux, France.

    2014-2015 : Master 2 de Recherche «Expertise en Population et Développement», Université Paris V – Réné Descartes, Paris, France.

    2008-2010 : Master 2 Professionnel en Démographie, Institut de Formation et de Recherche Démographique (IFORD), Yaoundé – Cameroun.

    2006-2007 : Maîtrise de Mathématique et informatique, Université de Cocody, Abidjan, Côte d’Ivoire.

    2005-2006 : Licence de Mathématique et informatique, Université de Cocody, Abidjan, Côte d’Ivoire.

    2002–2003 : Diplôme de Technicien de la Statistique, Ecole Nationale Supérieure de Statistique et d’Economie Appliquée (ENSEA), Abidjan, Côte d’Ivoire.

    2001-2002 : Baccalauréat série C (Mathématique et Physique), Lycée Classique d’Abidjan, Côte d’Ivoire.

  • Viviane Philipps
    Ingénieure d’étude
    Viviane.Philipps@u-bordeaux.fr

    Parcours

    Depuis 2017 Ingénieure d’étude, statisticienne – Contractuelle en CDI – Centre INSERM Bordeaux Population Health, Équipe Biostatistique

    2012-2017 Ingénieure d’étude, statisticienne – Contractuelle en CDD – Centre INSERM Bordeaux Population Health, Équipe Biostatistique

    2010-2012 Master de Mathématiques Appliquées, Spécialité Statistique – Université de Strasbourg

    2007-2010 Licence de Mathématiques – Université de Strasbourg

  • Cécile Proust-Lima
    Director of research in Biostatistics

    Education

    2014 HDR (Habilitation to conduct research), Univ. Bordeaux, France.
    2006 PhD in Biostatistics, Univ. Bordeaux Segalen, France.
    2003 Master degree in Epidemiology and Public Health, ISPED, Univ. Bordeaux Segalen, France.
    2002 Master degree in Biostatistics, National School for Statistics and Information Analysis, ENSAI, Rennes, France.

     

  • Manel Rakez
    Ph.D. Student

    Parcours

    2021 – present : Ph.D. degree in Public Health (option Biostatistics), Université de Bordeaux 

    2016 – 2018 : Master of sience in Public Health (Méthodes en évaluation thérapeutique : Biostatistiques, épidémiologie clinique), Université Paris Diderot – Paris VII

    2012 – 2016 : Bachelor of sience in Biology (Biologie cellulaire et physiology), Université Paris Diderot – Paris VII

  • Virginie Rondeau
    Directeur de Recherche INSERM
    PhD in Biostatistics

    Parcours

    2008, HDR (Hability to conduct Research), France.

    2001, Post-Doctorat at USC University, U.S.A.

    2000, PhD in Biostatistics (University of Bordeaux), France.

  • Anaïs Rouanet
    Post-doctorante en Biostatistique

    2019 Post-doctorat dans l’équipe Biostatistique, U1219: Développement de méthodes fréquentistes basées sur des différences finies pour l’estimation
    de corrélations temporelles entre différents processus latents, conjointement à des temps d’événements

    2017 Post-doctorat au Biostatistics Unit, Cambridge University, the UK: Développement de méthodes bayésiennes intégratives pour stratifier le risque d’évènement à partir de biomarqueurs génétiques, de tests cognitifs répétés et biomarqueurs d’imagerie

    2013 Thèse dans l’équipe Biostatistique avec Hélène Jacqmin-Gadda : Prise en compte de la sélection par le décès dans l’étude de la démence et du déclin cognitif

  • Tiphaine SAULNIER
    Ingénieure d’étude, Biostatisticienne
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