Module
Target trials emulation using observational data
Teaching conducted in English
Targeted trial emulation aims to estimate the effects of a treatment by simulating randomized controlled trials using real-world observational data.
In this module, you will learn about the specific characteristics of randomized controlled trials and observational studies, as well as the concept of causal inference. You will then be introduced to the techniques of targeted trials through lectures by specialists in the field and a comprehensive practical session to apply the concepts learned.
Practical information
Teachings
Dates
More info to come
Prices
Programme
Day 1
Introduction to target trial emulation
Day 2
A principled introduction to causal inference : causal estimands and methods for time-fixed treatment decisions
Day 3
Comparing initiators and non-initiators
Day 4
Practical implementation of causal inference for time fixed treatment decisions (with R)
Day 5
Practical target trial emulation with a grace perido (with R)
Speakers
Pr. Raphaël Porcher
Raphaël Porcher is a Professor of Biostatistics with expertise in innovative statistical methods for causal inference and personalized medicine, and emulation of complex target trials with observational data, and a chair in the PR[AI]RIE-PSAI AI cluster. As PI or Co-Investigator of several nationally-funded (e.g., French Agence Nationale de la Recherche) or European Union-funded (e.g., H2020 programs) projects, his research focuses on 1) causal inference methods to estimate the effect of interventions with real-world data, especially in the case of time-varying treatments; 2) statistical methods for personalized medicine, including clinical trials designs and the analysis of observational studies; 3) methodological issues in target trial emulation; and 4) the use of observational data for drug assessment by regulators of heath technology assessment. He also has long-lasting experience in designing and analyzing studies aiming to emulate a target trial, including complex situations of treatment durations or with time-varying treatments. At Université Paris Cité level, Raphaël Porcher is the director of the college of doctoral studies, and he is also the President of the national network of doctoral colleges (Réseau National des Collèges Doctoraux, France PhD).
Pr. Viet-Thi Tran
Viet-Thi Tran is Professor of Epidemiology at Université Paris Cité and the Assistance Publique Hôpitaux de Paris. His research involves the development of 1) Minimally Disruptive Medicine, and especially how novel technologies such as wearable biometric monitoring devices and artificial intelligence may help patients better cope with their chronic conditions; and 2) novel methods for Citizen Science that allow to capture and analyse the perspective of large number of participants with open-text questions. He’s co-PI of the ComPaRe e-cohort, an e-cohort of 50,000 patients suffering from chronic diseases in France..