期刊
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
卷 44, 期 1, 页码 324-333出版社
OXFORD UNIV PRESS
DOI: 10.1093/ije/dyu222
关键词
Recurrent events; time-to-event data; survival modelling
资金
- Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)/Ministry of Education-Brazil [0617/11-3]
- National Council for Scientific and Technological Development (CNPq) [478556/2010-1]
- National Institutes of Health (NIH) [P01 CA 142538, ULIRR025747]
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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