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Activity Number: 426
Type: Contributed
Date/Time: Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #303229
Title: Accelerated Failure Time Marginal Means Models for Recurrent Events with a Terminal Event
Author(s): Xiaoyan Wang*+ and Jianwen Cai
Companies: The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill
Address: 347 Cobblestone Court, Chapel Hill, NC, 27514,
Keywords: Accelerated life model ; Recurrent events ; Survival Data ; Empirical process ; Censoring ; Multiple events
Abstract:

Recurrent events with a terminal event such as death arise in many application areas. In the presence of terminal events, we consider a marginal mean model, assuming the accelerated failure time (AFT) model for counting process (Lin, Wei and Ying, 1998) holds for the recurrent event means function marginally across survival status. Estimators for the regression parameters and the baseline mean function are proposed, which are shown to be consistent and asymptotically normal. We investigate the finite-sample properties of the proposed estimators through simulation studies and illustrate the proposed method through an application to recurrent hospitalization data taken from the Studies of Left Ventricular Dysfunction (SOLVD).


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