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Clinical prediction rules are widely used as a way to identify disease risk or for prognosis and can be powerful tools that can guide decision-making. Recently, the availability of large routinely collected datasets has prompted renewed interest in this area, which is only likely to increase in future years.
About the course
This course will cover all aspects of clinical prediction rule studies, from design and model development to interpretation and validation. By the end of the course, students will have acquired knowledge of the key concepts relevant to each of these areas, and should be confident to conduct a clinical prediction rule study and to appraise existing clinical prediction rules.
Who is this course aimed at?
This course is designed for all healthcare professionals interested in using, developing or validating clinical prediction rules, especially those who are seeking to consolidate their understanding and ability in medical statistics. It is also suitable for medical statisticians and other methodologists who have an interest in clinical prediction rules and the methods that underpin them.
Explore the course
For more information, and to apply, visit our course page.
It will also be available as an optional module for students who join the MSc in EBHC Medical Statistics from academic year 2022/23.
Tutors
This course will be led by Dr Tom Fanshawe and Dr Constantinos Koshiaris (https://www.phc.ox.ac.uk/team/constantinos-koshiaris), supported by other teaching and research staff from the Nuffield Department of Primary Care Health Sciences.