Causal inference is increasingly used to generate real-world evidence (RWE), by regulatory bodies and health technology assessment.
This webinar introduces what is required to support causal claims, how causality can be evaluated across different study designs, and why this shift is particularly relevant for RWE today.
Speakers:
- Ryan Batten, Senior Statistician
- Josh Enxing, Senior Programmer- 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.
