The Cancer Drug Development Forum (CDDF) will hold a live webinar titled “Bayesian Approaches in Drug Development” on Thuerday, July 11 2024, at 17:00 (CEST) / 11:00 (EST).
WEBINAR OUTLINE
A Bayesian approach is a way to formally combine knowledge from previous data or ‘beliefs’ with data from a study, thus formally integrating all available knowledge to make statements about the probability that certain treatment effects exist and in the estimation of their magnitude. Such explicit incorporation of existing data into the design and analysis of clinical trials may seem well suited for drug development and it has been argued that Bayesian approaches have the potential to reduce the time and cost to bring new treatments to patients.
Formal integration of prior beliefs is, however, not common practice in drug regulation. The pharmaceutical industry and drug regulators traditionally analyse each study as a stand-alone entity, using Frequentist statistical methods such as significance tests and confidence intervals in the documentation of efficacy of new treatments. At present, Bayesian methods are usually confined to making go/no go decisions in early phases or to make decisions on whether to implement prespecified changes in adaptive trials, though use is expanding in terms of analysis of subgroups and in extrapolation exercises.
In this CDDF webinar we will discuss opportunities and challenges of expanding the use of Bayesian approaches in drug development.
Agenda: (CEST time zone)
17:00 – 17:05 Introduction – Axel Glasmacher (CDDF, DE)
17:05 – 17:30 Lecture by Rob Hemmings (Consilium, UK)
17:30 – 18:00 Panel Discussion – moderated by Axel Glasmacher (CDDF, DE) and Eva Skovlund (CDDF, NO)
Rob Hemmings
Rob is a partner at Consilium, a consultancy partnership between Rob Hemmings and Tomas Salmonson, both long-standing contributors to the EU regulatory network. Consilium supports companies in the development, authorisation and life-cycle management of medicines.
Previously Rob worked at AstraZeneca and then for 19 years at the Medicines and Healthcare products Regulatory Agency, heading the group of medical statisticians and pharmacokineticists. Rob is a statistician by background and was co-opted as a member of EMA’s CHMP for expertise in medical statistics and epidemiology. Over 11 years at CHMP, Rob served as was Rapporteur for multiple products and was widely engaged across both scientific and policy aspects of the committee’s work.
Rob also chaired the CHMP’s Scientific Advice Working Party for 8 years (4,229 procedures!) and also chaired EMA expert groups on Biostatistics, Modelling and Simulation and Extrapolation. Rob has co-authored multiple regulatory guidance documents, including those related to estimands, subgroups, use of conditional marketing authorisation, development of fixed-dose combinations, extrapolation, missing data and adaptive designs. Rob has a particular interest in when and how to use data generated in clinical practice to support drug development.