The research activities of ECSTRA team can be considered intermediate between theoretical research in biostatistics, and clinical research using statistical tools previously developed. Most of our research is hospital-linked.
Our research is indeed :
Our main research biostatistical themes concern :
1) Bayesian inference
Our objectives are to propose alternate ways for conducting clinical research, from clinical trials, proposing approaches that better handle the current knowledge on the efficacy or toxicity of a new drug, to diagnostic settings as well as to quality control.
2) Causal inference
We aim at developing valid approaches for analyzing observational data in the clinical epidemiology settings, where specificities regarding the sample size, the prevalence of treatment group, and the binary or censored nature of the outcomes are to be handled.
3) Pronostic models
Our aims are to provide performance measures to assess the prognostic interests of new classification or prognostic marker, to handle missing data problems in such a modeling, and to investigate different modeling strategies for longitudinal and survival data. We also develop multiple imputation techniques to handle missing data with particular interest for cluster data and survival outcomes.
Hôpital Saint Louis
1 avenue Claude Vellefaux