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.

Responsable(s)
Pascale
TUBERT-BITTER
Chercheur.se
Responsable d'équipe
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
Mélanie
BONNEAULT
Doctorant.e
Biostatisticien.ne
Philippe
BROET
Chercheur.se
Co-responsable d'équipe
Émeline
COURTOIS
Doctorant.e
Biostatisticien.ne
Romain
DEMAILLY
Chercheur.se associé.e
Julianne
DUHAZE
Doctorant.e
Statisticien.ne
Sylvie
ESCOLANO
Ingénieur.e. ou technicien.ne
Biostatisticien.ne
Andre
GILLIBERT
Doctorant.e
Biostatisticien.ne
Matthieu
HANF
Chercheur associé
Biostatisticien.ne
Liliane
MANITCHOKO
Doctorant.e
Biostatisticien.ne
Jacqueline
MILET
Doctorant.e
Biostatisticien.ne
Lucas
MORIN
Ingénieur.e ou technicien.ne
Biostatisticien.ne
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

Weighted Kaplan-Meier estimators motivating to estimate HIV-1 RNA reduction censored by a limit of detection. Ahmed, Ismaïl; Flandre, Philippe. Statistics in Medicine. 2020; : . doi:10.1002/sim.8455
Article
Seasonal influenza vaccine and Guillain-Barré syndrome: A self-controlled case series study. Grave, Clémence; Boucheron, Pauline; Rudant, Jérémie; Mikaeloff, Yann; Tubert-Bitter, Pascale; Escolano, Sylvie; Hocine, Mounia N.; Coste, Joël; Weill, Alain. Neurology. 2020; : . doi:10.1212/WNL.0000000000009180
Article
Clinicogenomic factors of biotherapy immunogenicity in autoimmune disease: A prospective multicohort study of the ABIRISK consortium. Signe Hässler, Delphine Bachelet,Julianne Duhaze,Natacha Szely,Aude Gleizes,Salima Hacein-Bey Abina,Orhan Aktas,Michael Auer,Jérôme Avouac,Mary Birchler,Yoram Bouhnik,Olivier Brocq,Dorothea Buck-Martin. Plos Medicine. 2020; : . doi:doi.org/10/1371/journal.pmed.1003348
Article
Validation study: evaluation of the metrological quality of French hospital data for perinatal algorithms. K;Goueslard, J;Cottenet,E;Benzenine, P;Tubert‐Bitter,C;Quantin. BMJ Open. 2020; : . doi:10.1136/
Article
Risk of Intracranial Aneurysm and Dissection and Fluoroquinolone Use: A Case-Time-Control Study. Maumus-Robert, Sandy; Debette, Stéphanie; Bérard, Xavier; Mansiaux, Yohann; Tubert-Bitter, Pascale; Pariente, Antoine. Stroke. 2020; : p.STROKEAHA119028490. doi:10.1161/STROKEAHA.119.028490
Article