Introduction to Prediction Modelling

This short course provides a practical introduction to prediction modelling over two half days 1-5pm. The course starts with an overview of the main types of quantitative research questions in which data analysis plays a central role, and how to distinguish betwen descriptive, predictive and causal questions. It then presents a roadmap to addressing predictive research questions, and explains the key concepts and tools needed to develop diagnostic and prognostic prediction models, assess predictive model performance, and carry out internal and external validation. The course covers both statistical regression models and machine learning approaches, illustrated with case study examples. Teaching includes both classroom lectures and computer practicals, with a focus on the application of diagnostic and prediction models. The course runs for two consecutive half-days: • Monday 9th November 1-5pm • Tuesday 10th November 1-5pm The course fee includes afternoon tea. This course is also available via zoom. Email [email protected] with any queries.