JSM 2005 - Toronto

Abstract #304345

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 66
Type: Contributed
Date/Time: Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor: ENAR
Abstract - #304345
Title: Joint Modeling of Longitudinal Data and Informative Followup Process
Author(s): Yu Liang*+ and Wenbin Lu
Companies: Columbia University and North Carolina State University
Address: 2842 Avent Ferry Road, Apt. 201, Raleigh, NC, 27606, United States
Keywords: Estimating equation ; Informative follow-up ; Joint modelling ; Latent variable ; Longitudinal data
Abstract:

In analysis of longitudinal data, it is common that study subjects may miss scheduled visits or come at subject-specific time points. And the followup process may depend on the longitudinal outcomes. In this paper, we study a joint model for analysis of longitudinal data with informative followup by introducing latent variables. A two-step estimation procedure is proposed for estimating the parameters in the joint model. The resulting estimators for the regression parameters in the longitudinal model have closed form, which are consistent and asymptotically normal. The corresponding asymptotic variance can be consistently estimated using the bootstrap method. Simulation studies show the proposed approach is appropriate for practical use. An example also is given to illustrate the methodology.

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