Date: Wednesday 23rd October 2024 In this event, we’ll start with a general introduction to hierarchical composite endpoints and an overview of common analysis methods including win ratio, win odds, and net benefit. Then, the practical considerations will be illustrated through case studies from clinical trials in heart failure and chronic kidney disease. We conclude with a discussion and a Q&A.

Date: Wednesday 6th November 2024 A careers talk about medical statistics and how it plays a crucial role in developing new medicines

Date: The Second Wednesday of every Month Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.

Date: Tuesday 19th November 2024 This webinar will discuss opportunities in applying causal inference methodology during the analysis of RCT data.

Dates: Module 1 - Wednesday 20th November Module 2 - Tuesday 26th November Module 3 - Thursday 28th November This interactive and hands on online course, aimed at beginner Bayesians who have little or no experience in Bayesian statistics, is split into 3 modules. Module 1 introduces Bayesian concepts and looks at how Bayes has been used recently in the Pharmaceutical Industry, and participants will undertake their own data collection exercise in order to analyse a simple Bayesian trial. Module 2 takes a look at the concepts of Bayesian statistics and key terminology and provides a chance to analyse some data using a simple Bayesian approach. Module 3 takes a further look at the use of Bayesian statistics in drug development and regulatory requirements and digs deeper into analysis issues.

Date: 20 October 2024 This event is aimed at students with an interest in the field of Medical Statistics, for example within pharmaceuticals, healthcare and/or medical research.

Date: Wednesday 20th November 2024 This is a webinar on the design of studies to assess safety of vaccines administered in pregnancy.

Date: Re-scheduled to Tuesday 26th November 2024 Lea Vaas will present how replacement of concurrent control animals by Virtual Control Groups (VCGs) in systemic toxicity studies may help in contributing to the 3R's principle of animal experimentation: Reduce, Refine, Replace.

Date: Wednesday 27th November 2024 The 7 Habits of Highly Effective People has had a profound impact on millions of people around the world. The book focuses on cultivating character and refining personality. Its principles are not only transformative for personal growth but also serve as powerful tools for professional development. Over the past few months, members of the PSI Book Club have been exploring these transformative principles through focused discussions and real-world applications. These principles aren’t just theories—they are actionable strategies that can be integrated into your daily life to drive meaningful change. In this upcoming session, we’ll bring these discussions to a broader audience. Together, we’ll explore how to practically apply the 7 Habits in our professional lives, share key insights from our book club sessions, and reflect on how these timeless principles can enhance both our personal and professional journeys.

Date: Tuesday 10th December 2024 This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

Date: Thursday 12th December 2024 Chaired by Jenny Devenport, join us to hear Andy Grieve and Zhiwei Zhang discuss their recent work on group sequential designs.

Date: October 2024 - July 2025 An introductory course giving an overview of the pharmaceutical industry and the drug development process as a whole, aimed at those with 1-3 years' experience. It comprises of six 2-day sessions covering a range of topics including Research and Development, Toxicology, Data Management and the Role of a CRO, Clinical Trials, Reimbursement, and Marketing.