Modelling recurrent events: a tutorial for analysis in epidemiology. Int J Epidemiol. Epidemiol., 44 (1) (2015), pp. International Journal Of Epidemiology, 44(1), 324-333. 2015;44(1):324-333. doi: 10.1093/ije/dyu222 PubMed Google Scholar Crossref 11. 324-333, 10.1093/ije/dyu222 CrossRef View Record in … My work has used the instructions proposed in "Modelling recurrent events: a tutorial for analysis in epidemiology." Amorim LD, Cai J. Modelling recurrent events: a tutorial for analysis in epidemiology. Amorim LDAF, Cai J. Modelling recurrent events: a tutorial for analysis in epidemiology. Recurrent events data analysis is common in biomedicine. [2] Steele, F. (2010). Leila DAF Amorim, Jianwen Cai, Modelling recurrent events: a tutorial for analysis in epidemiology, International Journal of Epidemiology, 10.1093/ije/dyu222, 44, 1, (324-333), (2014). Amorim L.D., Cai J.Modeling recurrent events: a tutorial for analysis in epidemiology Int. Modelling recurrent events: a tutorial for analysis in epidemiology Modelling recurrent events: a tutorial for analysis in epidemiology Amorim, Leila DAF; Cai, Jianwen 2015-02-01 00:00:00 AbstractIn many biomedical studies, the event of interest can occur more than once in a participant. Int J Epidemiol . My work has used the instructions proposed in "Modelling recurrent events: a tutorial for analysis in epidemiology." Presentation, University of Bristol. Crossref I would appreciate a sanity check of whether I am using Cox PH regression in R correctly to analyse recurrent events. J. Results of five analytical approaches for recurrent events: hazard and rate ratios of tumour recurrences in bladder cancer patients Several statistical models have been proposed for analysing multiple events. Recurrent Events versus Composite Events: Statistical Analysis Methods for Recurrent Events Recurrent events are repeated occurrences of the same type of event. In this paper we explore and illustrate several modelling techniques for analysis of recurrent time-to-event data, including condi-tional models for multivariate survival data (AG, PWP-TT and PWP-GT), marginal means/ rates models, frailty and multi-state models. Multilevel Discrete-Time Event History Analysis. These events are termed recurrent events. 2015;44:324-33. provide an excellent review of approaches to recurrent event analysis. Leila DAF Amorim and Jianwen Cai, International Journal of Epidemiology… In many epidemiological and medical studies, the outcome variable of interest is a recurrent event. Literature review indicates that most statistical models used for such data are often based on time to the first event or consider events within a subject as independent. Among others, low back pain, sickness leave from work, sporting injuries, and hospitalisation are examples of recurrent events that are often reported. 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