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
Chercheur.se associé.e
Biostatisticien.ne
Jacques
BENICHOU
Chercheur.se
Biostatisticien.ne
Philippe
BROET
Chercheur.se
Co-responsable d'équipe
Emeline
COURTOIS
Chercheur.se
Biostatisticien.ne
Romain
DEMAILLY
Chercheur.se associé.e
Chi-Hong
DUONG
Doctorant.e
Biostatisticien.ne
Sylvie
ESCOLANO
Ingénieur.e ou technicien.ne
Biostatisticien.ne
Sidonie
FOULON
Doctorant.e
Biostatisticien.ne
Matthieu
HANF
Chercheur.se associé.e
Biostatisticien.ne
Anne-Louise
LEUTENEGGER
Chercheur.se associé.e
Biostatisticien.ne
Lucas
MORIN
Chercheur.se
Epidémiologiste
Astelle
NDIAYE
Doctorant.e
Epidémiologiste
Hervé
PERDRY
Chercheur.se
Biostatisticien.ne
Matthieu
PLUNTZ
Doctorant.e
Biostatisticien.ne
Catherine
QUANTIN
Chercheur.se
Epidémiologiste
Elise
QUENTIN
Ingénieur.e ou technicien.ne
Biostatisticien.ne
Yanis
SAIDI
Ingénieur.e ou technicien.ne
Biostatisticien.ne
Marc - Antoine
SANCHEZ
Doctorant.e
Médecin
Anne
THIÉBAUT
Chercheur.se
Biostatisticien.ne
Pascale
TUBERT-BITTER
Chercheur.se
Responsable d'équipe
Ana-Maria
VILCU
Chercheur.se
Biostatisticien.ne
Etienne
VOLATIER
Chercheur.se
Statisticien.ne

Dernières publications

Risk of hospitalization for self-harm among adults hospitalized with SARS-CoV-2 in France: A nationwide retrospective cohort study. Chauvet-Gelinier, Jean-Christophe; Cottenet, Jonathan; Guillaume, Matthieu; Endomba, Franck-Teddy; Jollant, Fabrice; Quantin, Catherine. Psychiatry Research. 2023; 324: p.115214. doi:10.1016/j.psychres.2023.115214
Article
Hospitalisation for non-lethal self-harm and premature mortality in the 3 years following adolescent pregnancy: Population-based nationwide cohort study. Goueslard, Karine; Jollant, Fabrice; Cottenet, Jonathan; Bechraoui-Quantin, Sonia; Rozenberg, Patrick; Simon, Emmanuel; Quantin, Catherine. BJOG: an international journal of obstetrics and gynaecology. 2023; 130: p.1016-1027. doi:10.1111/1471-0528.17432
Article
Using LASSO regression to estimate the population-level impact of pneumococcal conjugate vaccines. Wong, Anabelle; Kramer, Sarah C.; Piccininni, Marco; Rohmann, Jessica L.; Kurth, Tobias; Escolano, Sylvie; Grittner, Ulrike; de Cellès, Matthieu Domenech. American Journal of Epidemiology. 2023; : p.kwad061. doi:10.1093/aje/kwad061
Article
Mortality and failure-to-rescue major complication trends after lung cancer surgery between 2005 and 2020: a nationwide population-based study. Bernard, Alain; Cottenet, Jonathan; Pagès, Pierre-Benoit; Quantin, Catherine. BMJ open. 2023; 13: p.e075463. doi:10.1136/bmjopen-2023-075463
Article
Diffusion of Minimally Invasive Approach for Lung Cancer Surgery in France: A Nationwide, Population-Based Retrospective Cohort Study. Bernard, Alain; Cottenet, Jonathan; Pages, Pierre-Benoit; Quantin, Catherine. Cancers. 2023; 15: p.3283. doi:10.3390/cancers15133283
Article

Thèses soutenues

Développements méthodologiques pour l'étude du rôle des variants récessifs rares dans les maladies multifactorielles. Foulon, Sidonie; Perdry, Hervé; Leutenegger, Anne-Louise; Truong, Thérèse. []: université Paris-Saclay; 2022.
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; 2022.
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; 2022.
Thesis
Modélisation dynamique des infections et co-infections génitales à papillomavirus humain (HPV) et de l’impact à long terme de la vaccination anti-HPV. Bonneault, Mélanie; Thiebaut, Anne; Opatowski, Lulla. []: université Paris-Saclay; 2021.
Thesis
Critères d'évaluation de la validité des estimateurs d'intervalle de confiance. Gillibert, André; Benichou, Jacques; Falissard, Bruno. []: université Paris-Saclay; 2021.
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
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
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
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
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