Precision medicine offers a promising framework for generating evidence to improve health and health care. However, a gap persists between the growing number of statistical precision medicine strategies and their implementation in real-world clinical settings. The strategies for closing this gap are likely context-dependent.
Want to learn more about precision medicine and how treatment rules can be evaluated? Don't miss the opportunity to attend this webinar on Individualized treatment rule characterization via surrogate for the value function on June 26th, 4:00 pm CET.

Our guest speaker is Nikki Boatenhamer Freeman, assistant Professor of Biostatistics and Bioinformatics at Duke University and member of the Duke Clinical Research Institute.

It is organized by SFdS Biopharmacie et Santé and will be hosted by Nicolas Savy , Assistant Professor, Toulouse Institute of Mathematics, University of Toulouse III.

Book your place here!