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.
