Modelling recurrent events: a tutorial for analysis in epidemiology
University of North Carolina at Chapel Hill
Abstract
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…
Citation impact
- FWCI
- 9.40
- Percentile
- 100%
- References
- 33
Authors
2Topics & keywords
- Event (particle physics)
- Computer science
- Data science
- Multivariate statistics
- Software
- Focus (optics)
- Statistical model
- Event data
- Good health and well-being