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Activity Number: 104
Type: Contributed
Date/Time: Monday, July 30, 2007 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #309784
Title: Joint Modeling of Longitudinal and Survival Data Using Penalized Corrected Likelihood
Author(s): Bo Hu*+ and Liang Li and Tom Greene
Companies: The Cleveland Clinic and The Cleveland Clinic and The Cleveland Clinic
Address: 6811 mayfield Rd, Mayfield Heights, OH, 44124,
Keywords: Joint model ; corrected likelihood
Abstract:

Joint modeling approach has been widely used for analyzing longitudinal data and survival data simultaneously. Many existing methods rely on certain algorithms to eliminate shared frailty parameters that link the longitudinal information and the survival information. We develop a penalized corrected likelihood method for analyzing such data. The corrected likelihood is a full likelihood, and is a concave function of the parameter, which ensures computational convergence.

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Revised September, 2007