Developing a strategy for practice change and disseminating evidence in a health care setting.
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Accredited courses include undergraduate and postgraduate level courses.
An introduction to the basic concepts and skills for evidence-based health care.
Master statistical computing for healthcare research. This 8-week online course teaches R programming, simulation, bootstrap, optimisation, and machine learning to tackle complex analytical challenges with confidence.
Plan, execute and interpret the statistical analysis of clinical trials.
Covering the process of doing a systematic review, focusing on practicalities and emphasising how and why this qualifies as scientific research.
Understanding the principles involved in designing, creating and testing clinical prediction rules.
Educational strategies to develop a course and design assessment of learning and evaluation. Part of the Evidence-Based Health Care programme.
Aiming to provide an understanding of realist reviews and evaluation and the ability to apply new knowledge and skills to a realist research project.
Critical appraisal and application, at an advanced level, of the best evidence on diagnostic tests.
Introducing some of the more advanced concepts and skills of research design and how they relate to evidence-based health care.
For those who have some research experience and an understanding of basic statistical principles, and who wish to develop their statistical expertise.
This course aims to provide an understanding of the life cycle of a clinical trial from design to publication, and the key steps involved in its delivery.