Matthew Sperrin

Communicating the uncertainty of individual risk from clinical prediction tools with the PGower similarity measure

Clinical prediction models offer risk estimates for individual patients that are uncertain, even when calibration and performance at the population level are good. We compute Gower’s distance between patients in the training dataset to construct a metric against which new patient...

Comparison of Methods for Incorporating Related Data When Developing Clinical Prediction Models: A Simulation Study

Clinical Prediction Models (CPMs) compute an individual's risk of an outcome, given a set of predictors. Guidance states CPMs should be constructed using data sampled from the target population. However, researchers might have access to ancillary data sets from different time poi...