Quantifying the predictive accuracy of time-to-event models in the presence of competing risks
Quantifying the predictive accuracy of time-to-event models in the presence of competing risks
Prognostic models for time-to-event data play a prominent role in therapy assignment, risk stratification and inter-hospital quality assurance. The assessment of their prognostic value is vital not only for responsible resource allocation, but also for their widespread acceptance. The additional presence of competing risks to the event of interest requires …