Format

Send to

Choose Destination
Int J Epidemiol. 2015 Feb;44(1):324-33. doi: 10.1093/ije/dyu222. Epub 2014 Dec 9.

Modelling recurrent events: a tutorial for analysis in epidemiology.

Author information

1
Department of Statistics, Institute of Mathematics, Federal University of Bahia, Brazil and Department of Biostatistics, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA leiladen@ufba.br.
2
Department of Statistics, Institute of Mathematics, Federal University of Bahia, Brazil and Department of Biostatistics, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

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 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.

KEYWORDS:

Recurrent events; survival modelling; time-to-event data

PMID:
25501468
PMCID:
PMC4339761
DOI:
10.1093/ije/dyu222
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Silverchair Information Systems Icon for PubMed Central
Loading ...
Support Center