Event Details
In this webinar, three speakers will share their perspective on the using of causal inference methodology in the analysis of RCT data. The audience will be presented with ideas and opportunities on why and how to apply causal inference principles / techniques in their work. And more importantly how causal approaches can help evaluating evidence for answers to causal-by-nature scientific questions.
First, Kaspar Rufibach (Merck) will share his perspectives on opportunities to apply causal methods. Next, Susan Gruber (TL revolution) will discuss targeted learning as a framework to address causal questions and the importance of sensitivity analyses. Finally, Florian Lasch (EMA) will discuss both the importance of the causal inference angle in determining estimands, and will discuss a case study.
The webinar will end with a panel discussion.
Who is this event intended for? Applied statisticians, and people genuinely interested in applying state-of-the-art statistical methodology.
What is the benefit of attending? Increased understanding and insights in causal inference principles and methodology.
