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.

Björn Holzhauer and Thomas Jemielita present their recent work on subgroup and covariate analysis.

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

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.

This 2-day course is designed to provide a comprehensive understanding of the regulatory guidelines affecting statisticians in the pharmaceutical industry, including the latest updates in the field. The course will cover key International Council for Harmonisation (ICH) guidelines and other key regional regulatory agency documents.

This 1-hour webinar will be an opportunity to hear how JMP have been influential in the toxicity testing of an oncology formulation in a pre-clinical setting. At the end of the presentation there will also be the opportunity to ask questions.

In this webinar we will review the range of statistical methodologies used to harness the potential of Real-World Data (RWD) in clinical development, particularly in the context of rare diseases and small populations like paediatrics. The session will include theoretical understanding and practical case studies, with a special focus on Bayesian methods and causal inference.

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.

A careers talk about medical statistics and how it plays a crucial role in developing new medicines

This webinar will discuss opportunities in applying causal inference methodology during the analysis of RCT data.

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.

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.