In addition to teaching undergraduate, taught postgraduate and continuing professional development courses, I am Assessment Lead and Academic Integrity Officer for the MSc in Health Data Science. I am also a Senior Fellow of the Higher Education Academy.
MSc in Health Data Science
Offering specialist training for current and aspiring health data scientists, this MSc combines research-focused teaching, training and development in an emerging discipline. Further details can be found here.
Health Data Science Training Modules
A range of courses including clinical prediction models, survival analysis, logistic regression and a 3-day intensive introduction to statistics: Link to the homepage of courses
Statistical Methods for Developing and Validating Risk Prediction Models
Patients and their care providers often want to know the risk of developing an (adverse) health outcome over time. Estimates of future risk ('prognosis') allow patients and their families to put a clinical diagnosis in context, and inform clinical decisions and treatment strategies. For this purpose there is a growing interest in risk prediction and prognostic models, which are statistical models that estimate an individual's outcome risk. This 3-day course provides a thorough foundation of statistical methods for developing and/or validating prognostic models in clinical research: Course link