Abstract:
:Cumulative incidence has been widely used to estimate the cumulative probability of developing an event of interest by a given time, in the presence of competing risks. When it is of interest to measure the total burden of recurrent events in a population, however, the cumulative incidence method is not appropriate because it considers only the first occurrence of the event of interest for each individual in the analysis: Subsequent occurrences are not included. Here, we discuss a straightforward and intuitive method termed "mean cumulative count," which reflects a summarization of all events that occur in the population by a given time, not just the first event for each subject. We explore the mathematical relationship between mean cumulative count and cumulative incidence. Detailed calculation of mean cumulative count is described by using a simple hypothetical example, and the computation code with an illustrative example is provided. Using follow-up data from January 1975 to August 2009 collected in the Childhood Cancer Survivor Study, we show applications of mean cumulative count and cumulative incidence for the outcome of subsequent neoplasms to demonstrate different but complementary information obtained from the 2 approaches and the specific utility of the former.
journal_name
Am J Epidemioljournal_title
American journal of epidemiologyauthors
Dong H,Robison LL,Leisenring WM,Martin LJ,Armstrong GT,Yasui Ydoi
10.1093/aje/kwu289subject
Has Abstractpub_date
2015-04-01 00:00:00pages
532-40issue
7eissn
0002-9262issn
1476-6256pii
kwu289journal_volume
181pub_type
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