4 papers
A reproducible and extensible framework for benchmarking competing risks survival models
Begoña B. Sierra, Colin McLean, Peter S. Hall +2
A wide range of statistical and machine learning methods have been proposed for survival analysis with competing risks, where the occurrence of one event (i.e., cancer death) precl…
The C-index Multiverse
Begoña B. Sierra, Colin McLean, Peter S. Hall +1
Quantifying out-of-sample discrimination performance for time-to-event outcomes is a fundamental step for model evaluation and selection in the context of predictive modelling. The…
AMUSE: Adaptive Model Updating using a Simulated Environment
Louis Chislett, Catalina A. Vallejos, Timothy I. Cannings +1
Prediction models frequently face the challenge of concept drift, in which the underlying data distribution changes over time, weakening performance. Examples can include models wh…
Ethical considerations of use of hold-out sets in clinical prediction model management
Louis Chislett, Louis JM Aslett, Alisha R Davies +2
Clinical prediction models are statistical or machine learning models used to quantify the risk of a certain health outcome using patient data. These can then inform potential inte…