The objective of this workshop is to ...

•  ... bring together main actors working with observational or real-world data, and developing biostatistics and machine learning models for causal inference
•  ... present the state of the art in dynamic treatment regime (DRT)
•  ... highlight the complementarity of using both Structural Causal Model and Potential Outcome point of views
•  ... present the possibilities offered by real word data and by the integration of real word data and RCTs
  • Validate observational studies
  • Generalize the treatment effect in a target patient population
  • Better estimate the (heterogeneous) effects
  • Handle unobserved confounders
  • Help better designing RCT with better external validity
•  ... discuss about which real word data should be collected
•  ... promote collaboration between the different actors

Audience

The workshop is dedicated to researchers in ML, in health, clinicians, companies interested in these topics. 

Registration

Due to the current pandemic, the workshop will be held 100% remotely. To register, please fill in the registration form.

Please note that for technical reasons, you will be asked to register for multiple sessions (4 sessions) in order to participate in the entire workshop.

To register or to see more details of this event, please click here.