This course is led by Dr Michael Theodorakis and features lectures and tutorials in epidemiology, systematic reviews and pharmacovigilance.
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Accredited courses include undergraduate and postgraduate level courses.
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.
Exploring the potential of technological innovations in 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.
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.
This course aims to develop future leaders in qualitative research. It bridges the gap between scientific evidence and clinical practice by exploring the attitudes, beliefs and preferences of patients and practitioners.