Non PSI Events

  • 04 Mar 2025

    UCL - Sample size calculations in randomised clinical trials: Beyond the basics

    This course builds on a basic course in sample-size calculations such as the one provided by the ICH, and provides an overview of the underlying statistical theory for sample-size calculations within the hypothesis testing framework. It addresses practical issues and statistical considerations when calculating sample sizes for a wide range of advanced trial designs, including factorial, non-inferiority, group sequential, and clustered randomised clinical trials with wide range of outcome distributions.
  • 18 Mar 2025

    UCL - Conduct of Platform Trials

    Through a mix of lectures and activity-based sessions, participants will gain a deep understanding of setting up, managing, and reporting platform trials. By the end of the course, attendees will be equipped to tackle the complex operational aspects of platform trials.
  • 03 Apr 2025

    UCL - Tumour Response Assessment in Oncology: A Guide to RECIST and iRECIST Criteria

    This is a newly developed training session that covers the following aspects: Introduction to response assessment criteria: why do we need standards - RECIST criteria guidelines: how are these reflected in the Trial Protocol? - RECIST and iRECIST: what are the differences? And more.
  • 03 Jun 2025

    UCL - Navigating Cancer Clinical Trials: Essential Knowledge for Statisticians

    This two-day course introduces the biology, diagnosis, staging and treatment of cancer, with a focus on their impact on key outcomes in clinical trials. The course is suitable for statisticians new to cancer trials or those looking to enhance their knowledge.
  • 17 Jun 2025

    LSHTM: Statistical Analysis with Missing Data Using Multiple Imputation

    A short course taught online by statisticians from London School of Hygiene and Tropical Medicine. If you're an epidemiologist, biostatistician or other health researcher looking to learn more about statistical analysis with missing data using multiple imputation, join our short course to master this essential method.

Upcoming Events

Latest Jobs