Statistical Learning & Prediction Modelling Research Group

Autumn School 2017 Prediction modelling

Our annual autumn school on Prediction modelling and personalized medicine in medical research using modern statistical methods will run in October 2017. The course covers all major steps of developing and assessing a clinical prediction model, including study design and data preparation, the problem of over-fitting in regression models, how to overcome over-fitting using penalized regression and cross-validation methods, how to deal with missing data, feature variable selection using random forests, and performance assessment and clinical usefulness of a model. The course consists of a mixture of lectures and computer lab seminars using the software R.