Woman holding pen

Use of Expert Prior Elicitation for Clinical Research

2 minute read

Published: November 16th, 2023

About this webinar

The application of expert prior elicitation in clinical research serves as an important methodological tool to quantify expert knowledge into the definition of prior probability distributions, which can be leveraged to inform Bayesian study design, enhance decision making, and ultimately advance the quality of patient care.

In this webinar recording, our panel of experts representing both industry and academia explore this essential methodology. They delve into the benefits and challenges of prior elicitation in enhancing clinical research, unveil its practical applications, and engage in an in-depth discussion of an interesting case study that highlights it’s use in a rare paediatric disease setting, offering valuable insights.

Key learnings

  • Extract insights from accomplished leaders in academia and industry who have effectively implemented this methodology.
  • Gain an industry-focused comprehension of the significance of prior elicitation, delving into GSK’s valuable experiences and lessons learned from its application.
  • Explore potential projects that could have harnessed the benefits of prior elicitation and discover a comprehensive, end-to-end elicitation approach within a purpose-built Shiny app.

Expert Speakers

  • Nigel Dallow, Clinical Statistics Head, GSK.
  • Thomas Jaki, Professor of Statistics, University of Regensburg, and MRC Biostatistics Unit.
  • Yasin Desai, Statistician, Phastar.
  • Emily Foreman, Statistician, Phastar.
  • Giles Partington, Senior Statistician, Phastar.
  • Ian Wadsworth, Principal Statistician, Phastar.

Complete the fill below to watch the webinar

Related articles

From Data to Decisions: TMLE, Doubly Robust Methods, and Federated Learning

From Data to Decisions: TMLE, Doubly Robust Methods, and Federated Learning

March 17th, 2026 2 minute read

Join us for the second installment in our series on advanced causal methods for evidence-based decision-making. This ...

Causal Inference in Real World Evidence: What is it? Why now?

Causal Inference in Real World Evidence: What is it? Why now?

January 22nd, 2026 1 minute read

Causal inference is increasingly used to generate real-world evidence (RWE), by regulatory&n...

Regulatory-Grade Use of External Data: Bayesian Borrowing, Hybrid Trials and External Controls 

Regulatory-Grade Use of External Data: Bayesian Borrowing, Hybrid Trials and External Controls 

November 20th, 2025 1 minute read

Use of external data to augment clinical trials has been increasingly evaluated and is transforming drug development ...