Webinar: Dr Kim May Lee - Clinical trial simulation: Planning with the OCTAVE framework and some computational principles

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The adoption of complex innovative clinical trial designs has steadily increased in recent years. These trial designs incorporate one or more unconventional features intended to improve efficiency. The motivation for these designs may not be difficult to follow, but their set-up and implementation is usually more challenging. Statistical properties of these designs can also be difficult to compute. Clinical trial simulation (CTS) can be conducted to contribute to a better understanding of the value of unconventional features before implementing the design in an actual clinical trial. This talk introduces a new framework, called OCTAVE, for outlining the details of CTS. Key computational components, such as data generation strategies and code validation procedures will also be discussed. The target audience includes trial statisticians who are involved in designing and analysing clinical trials.

Speaker:

Dr Kim May Lee is a Research Fellow in the Department of Biostatistics and Health Informatics at King’s College London. Her work focuses on the design and analysis of clinical trials, with expertise in adaptive and innovative trial methodologies, including platform trials, adaptive randomization, and methods for handling heterogeneity and missing data. Dr Lee holds a PhD in Statistics from the University of Southampton and has previously worked at the MRC Biostatistics Unit at the University of Cambridge and the PCTU at Queen Mary University of London. She works closely with clinical researchers, providing methodological support for applied trials. Her research aims to improve the efficiency, rigour, and interpretability of modern clinical studies.