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

Driving Clinical Research with AI: From Early Discovery to Regulatory-Grade Insights

Driving Clinical Research with AI: From Early Discovery to Regulatory-Grade Insights

May 19th, 2026 1 minute read

Join us for a transformative three-part webinar series, “Driving Clinical Research with AI,” where indust...

Causal Inference Through a Regulatory Lens

Causal Inference Through a Regulatory Lens

May 15th, 2026 1 minute read

About This Webinar As expectations for robust, real-world evidence continue to grow, understanding how regulators eva...

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

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

April 13th, 2026 1 minute read

This webinar will cover methods that are crucial to making informed decisions. Specifically, personalized care throug...