From Data to Decisions: TMLE, Doubly Robust Methods, and Federated Learning

1 minute read

Published: April 13th, 2026

This webinar will cover methods that are crucial to making informed decisions. Specifically, personalized care through causal and federated learning, targeted maximum likelihood estimation (TMLE) and doubly robust methods.  

Speakers:
  • Ryan Batten, Senior Statistician, Phastar
  • Julie Joss, Senior Researcher, Inria
  • Josh Enxing, Senior Programmer, Phastar- Moderator
Learning Points:
  • Distinguishing correlation from causation in the context of clinical and real-world data (RWD).
  • When do we currently use causality? Examples of how it is currently used (i.e., RCTs). Sometimes this is not explicitly stated but implied.
  • Why now? Advances in causal methods and the growing regulatory/HTA reliance on RWE make explicit causal intent essential, as it fundamentally shapes study design, analysis planning, and interpretation.
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