Data Science
Events
Calendar of Events
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1 event,
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A foundational understanding of health economics is essential for anyone seeking to design or interpret clinical trials through a value-for-money lens. “An Introduction to Health Economics” provides a clear, accessible overview of the core principles and terminology that underpin economic evaluation in healthcare. This 1-hour session is specifically designed for researchers, clinicians, and trial staff who are new... |
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The session is suited to anyone involved in designing, running, or managing brain and mental health trials who wants to incorporate a health economic perspective: clinical investigators, trial managers, research nurses, and other professionals seeking introductory guidance. The material is accessible without an economics background, although very basic familiarity with core concepts is helpful. If... |
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Calling all nurses, midwives, allied health professionals, healthcare scientists, pharmacists, and psychologists (NMAHPPs) We are excited to announce the upcoming NMAHPPs Research Careers Showcase being hosted by the NIHR Oxford Health BRC and taking place online on Wednesday, 21 January 2026, from 10:00 to 13:00. This inspiring event will bring together clinicians and researchers to explore how engaging in... |
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We’re delighted to invite you to an informative online session on practical tools for ethnicity inclusion in health research. As a researcher or research clinician, this event is a fantastic opportunity to enhance your approach to including people and communities from diverse ethnicities in your research. These sessions are for: Research staff affiliated with the following Biomedical... |
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Clinical trials are essential for evaluating new treatments, and there is growing interest in harnessing health systems data (HSD) to enhance their efficiency and effectiveness. HSD can offer researchers and trialists valuable opportunities to streamline key processes such as identifying eligible participants, monitoring trial progress in real time, enabling remote follow-up and capturing outcomes. Yet, its use... |
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