On Demand Webinar Series:
Advancing Innovation in Clinical Trial Design
Bayesian Statistics with Applications in Clinical Trials in the New Era
Cytel is excited to announce a new webinar series, Advancing Innovative Clinical Trial Design. Innovative trial design has provided pharmaceutical & biotech companies an opportunity to design and implement more efficient clinical trials in order to expedite the drug development process. Several regulators, including the FDA, EMA and CDE have encouraged the use of complex, adaptive, Bayesian and other novel clinical trial designs.
In this innovative webinar series, our industry leading speakers will discuss:
- Trends in clinical trial design
- Review the evolving landscape and statistical framework
- Discuss the use of various tools for optimizing trial designs and review the practical's when implementing trial simulations
- Present the use of Cytel’s East ® platform (the industry-standard software for adaptive clinical trial design and analysis) and Cytel’s Solara platform (the first trial strategy platform)
Watch the first webinar in the new series on demand, Bayesian Statistics with Applications in Clinical Trials in the New Era. Professor Yuan Ji will review Bayesian statistical philosophies and their applications to early and late-phase clinical trials. The goal is to provide a Bayesian perspective on statistical modeling and decision making for clinical trials. In the early phase drug development, more nimble modeling approaches are typically allowed due to the exploratory nature. However, errors made in early phase have grave impact to drug development since these errors lead to major waste of resources.
During this webinar Professor Yuan Ji will discuss:
- How Bayesian modeling can help mitigate the potential errors in decision making in early-phase expansion cohort trials. In late phase, due to current regulatory constraints, statistical errors are expressed in frequentist type I and type II error rates.
- How Bayesian and frequentist sequential decision making are different, especially through interim analyses. Various Bayesian approaches will be presented.
Meet the Speaker:
- Yuan Ji, Ph.D., Professor of Biostatistics (with tenure) at The University of Chicago