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Efficient adaptive trial designs: what are they, what to consider when using them, and how to improve their uptake to transform patient care - Dr Munya Dimairo
From Andy Tattersall May 25, 2023
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ScHARR Mini Master Class in Health Research #29
Efficient adaptive trial designs: what are they, what to consider when using them, and how to improve their uptake to transform patient care - Dr Munya Dimairo
Abstract
The desire to improve trial design efficiency is a continuous process. Adaptive designs can offer trial efficiency when used appropriately. The talk will introduce adaptive designs in randomised trials, advances in adaptive approaches, historical perspectives on their uptake in trial research, and future directions. Key considerations when applying adaptive trial designs will be covered. Finally, useful resources available to improve their appropriate use to investigate the effects of interventions will be highlighted.
Bio
Munya leads statistical support in the design, conduct, monitoring, analysis, and reporting of studies (mostly clinical trials) within the University of Sheffield Clinical Trials Research Unit (CTRU). This includes overseeing multiple projects that are at various stages to ensure high-quality delivery. He also supports research proposal development of research for funding. In addition, Munya leads and collaborates on methodological research aimed at improving efficiency in the conduct of trials as well as the implementation of innovative and efficient designs within the unit, such as adaptive trial designs. His vast research interests are around innovative clinical trials statistical methodology and their translation into routine practice. He serves as an independent statistician on trial steering and data monitoring committees of several publicly funded clinical trials.
Munya holds a BSc (Hons) in Statistics from the University of Zimbabwe, an MSc in Medical Statistics from the London School of Hygiene and Tropical Medicine and a PhD in Medical Statistics from the University of Sheffield. His PhD investigated the utility of adaptive designs in publicly funded confirmatory trials.
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