Analysis of Multiple Type Recurrent Event Data in the Presence of Terminal Events

• Activity Number: 74
• Type: Contributed
• Date/Time: Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
• Sponsor: Biometrics Section
• Author(s): Shankar Viswanathan*+ and Jianwen Cai
• Companies: Albert Einstein College of Medicine and The University of North Carolina at Chapel Hill
• Keywords: multivariate survival analysis ; multiple type recurrent events ; terminal events ; estimating equations ; marginal rate model

Abstract

In many clinical and epidemiological studies, more than one type of recurrent events such as multiple type of infections (bacterial, viral, fungal) in immunocompromised patients occur. Often such studies are complicated by the presence of terminal event and needs adjustment. We propose a marginal rate model for multiple type recurrent events in the presence of a terminal event, we considered a weighted estimating equation approach assuming that terminal events preclude further recurrent events. We adjusted for the terminal events via inverse probability survival weights and the asymptotic properties of the proposed estimators were established. The proposed methods are further applied to a Indian renal transplant cohort data studying risk factors for multiple type recurrent infections.