Title of article
A new joint model for longitudinal and survival data with a cure fraction
Author/Authors
Chen، نويسنده , , Ming-Hui and Ibrahim، نويسنده , , Joseph G. and Sinha، نويسنده , , Debajyoti، نويسنده ,
Issue Information
دوفصلنامه با شماره پیاپی سال 2004
Pages
17
From page
18
To page
34
Abstract
We develop a new joint cure rate model for longitudinal and survival data. The model allows for multiple longitudinal markers as well as a cure structure for the survival component based on the promotion time cure rate model, as described in Ibrahim et al. (Bayesian Survival Analysis, Springer, New York, 2001). Several characteristics and properties of the new model are discussed and examined. A real dataset from a melanoma clinical trial is given to demonstrate the methodology.
Keywords
Antibody IgM titers , Biologic markers , CANCER , Longitudinal data , Random effects , melanoma , Survival model , Cure rate model , Antibody IgG titers
Journal title
Journal of Multivariate Analysis
Serial Year
2004
Journal title
Journal of Multivariate Analysis
Record number
1558015
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