High-Dimensional Biostatistics

High-Dimensional Biostatistics

High-Dimensional Biostatistics for Drug Safety and Genomics (HiDiBiostat)

The team is interested in emerging statistical issues in public health and clinical research as access to and use of large-scale data increases. Drug safety assessment and predictive genomics are our two main areas of methodological development, both of which involve high-dimensional issues, notably with machine learning approaches.

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Our first axis is devoted to the evaluation of drugs in population, with methodological developments in pharmacoepidemiology and pharmacovigilance. We have a particular interest in vaccines and drugs taken during pregnancy. Our recent orientations also involve the exploitation of medico-administrative databases such as the National Health Data System (SNDS) in France. In pharmacoepidemiology, our objective is to develop statistical methods for the exploitation of SNDS data taking into account measured and unmeasured confounding. In addition, we are working on methods for estimating public health impact: the benefit-risk ratio of vaccines and attributable risk. In pharmacovigilance, we are developing methods for automatic signal detection aimed at exploiting the large databases of spontaneous reports and, more recently, of the SNDS. These methods are based on the statistical fields of high-dimensional variable selection and causality.

Our second axis carried by the Genostat group is devoted to predictive genomics and epidemiological genetics. The objectives are among others: (i) the development of integrative strategies that use various sources of "internal" (e.g. clinical samples) or "external" (e.g. databases) information, in particular internal multilayered information from genomics, transcriptomics and proteomics for prediction; (ii) the development of methods for association testing with rare variants, in particular for exome sequencing data.

Localisation

Hôpital Paul Brousse, Bat. 15/16

16 av, Paul Vaillant Couturier
94807 Villejuif


Membres

Ismail
AHMED
Chercheur.se
Biostatisticien.ne
Lucas
ANZELIN
Doctorant.e
Biostatisticien.ne
Jacques
BENICHOU
Chercheur.se
Biostatisticien.ne
Philippe
BROET
Chercheur.se
Co-responsable d'équipe
Émeline
COURTOIS
Doctorant.e
Biostatisticien.ne
Romain
DEMAILLY
Chercheur.se associé.e
Chi-Hong
DUONG
Doctorant.e
Biostatisticien.ne
Sylvie
ESCOLANO
Ingénieur.e ou technicien.ne
Biostatisticien.ne
Andre
GILLIBERT
Doctorant.e
Biostatisticien.ne
Matthieu
HANF
Chercheur.se associé.e
Biostatisticien.ne
Liliane
MANITCHOKO
Doctorant.e
Biostatisticien.ne
Lucas
MORIN
Chercheur.se
Epidémiologiste
Hervé
PERDRY
Chercheur.se
Biostatisticien.ne
Matthieu
PLUNTZ
Doctorant.e
Biostatisticien.ne
Catherine
QUANTIN
Chercheur.se
Epidémiologiste
Julien
SIMON
Doctorant.e
Epidémiologiste
Anne
THIÉBAUT
Chercheur.se
Biostatisticien.ne
Pascale
TUBERT-BITTER
Chercheur.se
Responsable d'équipe
Etienne
VOLATIER
Doctorant.e
Statisticien.ne

Dernières publications

Increased Risk of Hospitalization for Pancreatic Cancer in the First 8 Years after a Gestational Diabetes Mellitus regardless of Subsequent Type 2 Diabetes: A Nationwide Population-Based Study. Simon, Julien; Goueslard, Karine; Arveux, Patrick; Bechraoui-Quantin, Sonia; Petit, Jean-Michel; Quantin, Catherine. Cancers. 2021; 13: . doi:10.3390/cancers13020308
Article
Impact of the COVID-19 Epidemic on hospitalization for diabetic foot ulcers during lockdown: A French nationwide population-based study. Mariet, Anne-Sophie; Benzenine, Eric; Bouillet, Benjamin; Vergès, Bruno; Quantin, Catherine; Petit, Jean-Michel. Diabetic Medicine: A Journal of the British Diabetic Association. 2021; : p.e14577. doi:10.1111/dme.14577
Article
Comparison of the characteristics, morbidity, and mortality of COVID-19 and seasonal influenza: a nationwide, population-based retrospective cohort study. Piroth, Lionel; Cottenet, Jonathan; Mariet, Anne-Sophie; Bonniaud, Philippe; Blot, Mathieu; Tubert-Bitter, Pascale; Quantin, Catherine. The Lancet. Respiratory Medicine. 2021; 9: p.251-259. doi:10.1016/S2213-2600(20)30527-0
Article
Impact of time-varying cumulative bevacizumab exposures on survival: re-analysis of data from randomized clinical trial in patients with metastatic colo-rectal cancer. Guilloteau, Adrien; Abrahamowicz, Michal; Boussari, Olayide; Jooste, Valérie; Aparicio, Thomas; Quantin, Catherine; Le Malicot, Karine; Binquet, Christine. BMC medical research methodology. 2021; 21: p.14. doi:10.1186/s12874-020-01202-9
Article
Incidence of rhegmatogenous retinal detachment in France from 2010 to 2016: seasonal and geographical variations. Ben Ghezala, Inès; Mariet, Anne Sophie; Benzenine, Eric; Gabrielle, Pierre-Henry; Baudin, Florian; Bron, Alain M.; Quantin, Catherine; Creuzot-Garcher, Catherine P.. The British Journal of Ophthalmology. 2021; : . doi:10.1136/bjophthalmol-2020-318457
Article

Thèses

Approches statistiques en pharmacoépidémiologie pour la prise en compte de facteurs de confusion indirectement mesurés dans les bases médico-administratives. Duong, Chi hong; Tubert-bitter, Pascale; Ahmed, Ismaïl. []: université Paris-Saclay; 2020.
Thesis
Score de propension en grande dimension et régression pénalisée pour la détection automatisée de signaux en pharmacovigilance Propensity Score-Based Approaches in High Dimension for Pharmacovigilance Signal Detection: an Empirical Comparison on the French Spontaneous Reporting Database New adaptive lasso approaches for variable selection in automated pharmacovigilance signal detection. Courtois, Émeline; Tubert-Bitter, Pascale. []: université Paris-Saclay; 2020.
Thesis
Étude de la composante génétique de la variabilité des infections palustres simples : Approche génome entier dans deux cohortes de jeunes enfants au Bénin First Genome-Wide Association Study of Non-Severe Malaria in Two Birth Cohorts in Benin Mixed logistic regression in Genome-Wide Association Studies. Milet, Jacqueline; Perdry, Hervé. []: université Paris-Saclay; 2020.
Thesis
Détection automatisée de signaux en pharmacovigilance chez la femme enceinte à partir de bases médico-administratives Prescription drug use during pregnancy in France: a study from the national health insurance permanent sample Identifying drugs inducing prematurity by mining claims data with high-dimensional confounder score strategies. Demailly, Romain; Tubert-Bitter, Pascale. []: université Paris-Saclay; 2020.
Thesis
Sélection de variables et inférence statistique en grande dimension avec les régressions pénalisées : application aux données de notifications spontanées en pharmacovigilance. Pluntz, Matthieu; Tubert-bitter, Pascale; Ahmed, Ismaïl; Dalmasso, Cyril. []: université Paris-Saclay; 2019.
Thesis
Conditions de validité des estimateurs des modèles linéaires généralisés et leurs extensions. Gillibert, André; Benichou, Jacques; Falissard, Bruno. []: université Paris-Saclay; 2018.
Thesis
Approches statistiques causales en grande dimension pour la détection de signaux en pharmacovigilance : application aux notifications spontanées et aux données médico-administratives. Volatier, Etienne; Tubert-bitter, Pascale; Ahmed, Ismaïl. []: université Paris-Saclay; 2018.
Thesis
Modélisation de l'impact d'une exposition médicamenteuse dans le temps : estimation de la fonction de risque et de la fraction de risque attribuable. Manitchoko, Liliane; Thiebaut, Anne; Benichou, Jacques. []: université Paris-Saclay; 2018.
Thesis
Abord de l'épidémiologie des cancers par des données de registre et des données médico-administratives : complémentarité des deux approches.. Simon, Julien; Quantin, Catherine. []: université Paris-Saclay; 2017.
Thesis