Insights into the Analysis of Recurrent Events with Dependent Censoring and Future Directions

• Activity Number: 672
• Type: Invited
• Date/Time: Thursday, August 13, 2015 : 10:30 AM to 12:20 PM
• Sponsor: ENAR
• Author(s): Jennifer Rogers*
• Companies: London School of Hygiene and Tropical Medicine
• Keywords: Recurrent events ; Dependent censoring ; Joint modelling ; Frailty models ; Composite endpoints ; Survival analysis

Abstract

Chronic diseases are characterised by recurrent events, such as hospitalisations for worsening condition in heart failure. Analysing all of these repeat events within individuals is more representative of disease progression and accurately estimates the effect of treatment on the true burden of disease. An increase in heart failure hospitalisations, however, is associated with an elevated risk of cardiovascular death, so a comparison of hospitalisation rates between treatment groups is confounded by this competing risk. Analyses of recurrent events must take into account informative censoring that may be present. This talk shall outline, and discuss the relative merits of, the different methods available for analysing recurrent events with informative censoring. In addition, data from multiple large scale clinical trials in cardiovascular disease shall be used to illustrate the application of these methods. Future directions for recurrent events analysis in the presence of dependent censoring shall also be considered.