Event Details
Who is this event intended for?: Statisticians involved in or interested in evidence integration and Bayesian borrowing
What is the benefit of attending?: Learn about recent developments in evidence integration and Bayesian borrowing from key experts in the industry
Event overview: Integrating clinical trial evidence with external data such as historical or real-world data is critical in many indications for marketing authorization or health technology assessment bodies. In rare diseases, or small populations, this integration is an ethical necessity for powering studies. In many indications, the integration is also necessary for increasing precision in some subgroups or in some exploratory endpoints, or earlier in development to inform internal decision making. Finally, in indications with a rapidly evolving treatment landscape, head-to-head comparisons between all relevant therapies is only possible as indirect comparisons integrating clinical trial evidence with external data.
This webinar is organised by the RWD SIG and the Historical Data Sig. We will review recent methods, applications, and tools of integrating subject-level-data from clinical trial with external data using Bayesian methods and/or causal inference methods.
