Understanding the principles involved in designing, creating and testing clinical prediction rules.
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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.
Explore photography's power to express emotions and heal wounds. Learn techniques and apply them for mental wellbeing and personal growth. Gain practical experience and insights to use photography for self-development and professional practice.
This event examines core ethical challenges in mental health theory and practice through an intersectional lens, exploring how gender, race, class, and sexuality shape experiences of mental distress, access to care, and mental health systems.
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.
Addiction is a complex construct in which an individual takes a substance or engages in behaviour that is pleasurable but eventually becomes compulsive with harmful consequences. This day offers interesting multidimensional explanations of addiction.
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.
This module will focus on how to evaluate the impact of a translational science effort in a healthcare setting.
This module will introduce basic questions and concepts in artificial intelligence ethics (i.e. AI Ethics), as well as more general philosophical questions about the ethical issues raised by the adoption of AI in our everyday life.