The DOI matches its Crossref record; 28 of the 30 references it cites were found in a registry or an index.
Modelling recurrent events: a tutorial for analysis in epidemiology
Open accessAbstract
In many biomedical studies, the event of interest can occur more than once in a participant. These events are termed recurrent events. However, the majority of analyses focus only on time to the first event, ignoring the subsequent events. Several statistical models have been proposed for analysing multiple events. In this paper we explore and illustrate several modelling techniques for analysis of recurrent time-to-event data, including conditional models for multivariate survival data (AG, PWP-TT and PWP-GT), marginal means/rates models, frailty and multi-state models. We also provide a tutorial for analysing such type of data, with three widely used statistical software programmes. Different approaches and software are illustrated using data from a bladder cancer project and from a study on lower respiratory tract infection in children in Brazil. Finally, we make recommendations for modelling strategy selection for analysis of recurrent event data.
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“This stratified approach enables each event recurrence to have a distinct baseline hazard and is recommended when occurrence of the first event increases the likelihood of subsequent events.31”
From Factors associated with recurrent emergency department visits among people living with dementia: A retrospective cohort study (2023) · cites this paper as [31]
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Hakim, H., Dallas, R. H., Wolf, J., Tang, L., Schultz‐Cherry, S., Darling, V. R., Johnson, C. N., Karlsson, E. A., Chang, T., Jeha, S., et al. (2018) · Clinical Infectious Diseases · doi:10.1093/cid/ciy153 · Cited by 197
Immunotherapies in neuromyelitis optica spectrum disorder: efficacy and predictors of response
Stellmann, J., Krumbholz, M., Friede, T., Gahlen, A., Borisow, N., Fischer, K., Hellwig, K., Pache, F. C., Ruprecht, K., Havla, J. B., et al. (2017) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2017-315603 · Cited by 153
Mehta, B. Y., Pedro, S., Özen, G., Kalil, A. C., Wolfe, F., Mikuls, T. R., & Michaud, K. D. (2019) · RMD Open · doi:10.1136/rmdopen-2019-000935 · Cited by 151
Risk of Cardiovascular Disease and Mortality in Young Adults With End-stage Renal Disease
Modi, Z. J., Lu, Y., Ji, N., Kapke, A., Selewski, D. T., Dietrich, X., Abbott, K. C., Nallamothu, B. K., Schaubel, D. E., Saran, R., et al. (2019) · JAMA Cardiology · doi:10.1001/jamacardio.2019.0375 · Cited by 124
Metadata
- Authors
- Amorim, L. D., & Cai, J.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- ORCID
- Cai, Jianwen
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-12-09
- Volume
- 44
- Issue
- 1
- Pages
- 324-333
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- PMC
- PMC4339761
- OpenAlex
- W2102630933
- Cited by
- 564
- References
- 30
- Citations by year
- 2026: 57 · 2025: 84 · 2024: 53 · 2023: 76 · 2022: 63 · 2021: 58 · 2020: 53 · 2019: 58 · 2018: 33 · 2017: 13 · 2016: 10 · 2015: 5
- FWCI
- 9.87
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- International Journal of Epidemiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- National Institutes of Health (CA 142538)
- U.S. Public Health Service (ULIRR025747)
- National Cancer Institute (P01CA142538)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- recurrent events, multivariate survival models, frailty models, multi-state models, bladder cancer
- MeSH terms
- Algorithms, Data Interpretation, Statistical, Epidemiologic Methods, Humans, Models, Statistical, Bias, Epidemiologic Studies
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