Evaluating discrimination of prediction models for recurrent clinical events
This study provides practical methods and open-source code for evaluating the discrimination of prediction models for recurrent event data and proposes adapted discrimination statistics based on comparing predicted and observed cumulative event counts, addressing limitations of conventional concordance approaches.