Risk Prediction Modelling (Summer School 2022 days 8b & 9)
overview_risk_prediction_modelling.pdf
This workshop gives an introduction to topical issues in the use of prediction models in health. The application of both regression models and machine learning approaches to the process of prediction model development for individuals will be discussed and illustrated with practical computing exercises in Stata and R. The methods for model validation will be described. The use of multiple imputation when developing a new model, in order to manage the challenge of missing data, will be described, and in this context relevant methods for variable selection and model validation will be explained.
Prerequisite knowledge for this workshop is a sound understanding of epidemiological and statistical concepts including multivariable regression models, and knowledge of either Stata or R. The course will be delivered online via Zoom over two days (1:30-5pm AEDT).
Registration closes 5pm Tuesday 15th February