Recurrent Event Analysis
Recurrent Event Analysis is a subfield of survival analysis that develops and applies statistical methods for modeling the occurrence and timing of multiple, possibly repeated events within the same individual over time, in contrast to traditional time-to-first-event analyses that consider only a single terminal event.
554
Publications
35.6K
Citations
1.9K
Authors
858
Institutions
Publications per year
2017–2026
123
Variants
Recurrent Event Data Analysis
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University of North Carolina at Chapel Hill, United States
14 publications · 1.3K citations
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University of Michigan
Ann Arbor, United States
22 h-index
62 publications
5.1K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
20 h-index
53 publications
3.1K citations

University of Waterloo
Waterloo, Canada
19 h-index
54 publications
3.5K citations
University of Missouri
Columbia, United States
15 h-index
28 publications
891 citations

Johns Hopkins University
Baltimore, United States
15 h-index
29 publications
2K citations
Inserm
Paris, France
15 h-index
41 publications
1.7K citations
Harvard University
Cambridge, United States
15 h-index
26 publications
3.1K citations
University of Washington
Seattle, United States
12 h-index
17 publications
2K citations
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43 publications · 2.5K citations
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