Longitudinal · Analysis and reporting
Mean Cumulative Recurrent-Event Burden
The cumulative mean number of events distinguishes repeated burden from risk of a first event.
When to use it
Use an estimator matched to censoring and terminal death when those occur; this complete-follow-up toy has neither.
How to read it
Four people contribute five events at days 20,30,40,80,90 and are all observed through day 100. Final mean count is 1.25, not an event probability.
Worked example
The cumulative mean number of events distinguishes repeated burden from risk of a first event.
Four people contribute five events at days 20,30,40,80,90 and are all observed through day 100. Final mean count is 1.25, not an event probability.
Result: Use an estimator matched to censoring and terminal death when those occur; this complete-follow-up toy has neither.
Produced by
Reference: Primary method sources are listed in the linked producing-method entries. The displayed data are original synthetic teaching examples, not published patient results.