A new joint model for longitudinal and survival data with a cure fraction
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.
Year of publication: |
2004
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Authors: | Chen, Ming-Hui ; Ibrahim, Joseph G. ; Sinha, Debajyoti |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 91.2004, 1, p. 18-34
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Publisher: |
Elsevier |
Keywords: | Antibody IgG titers Antibody IgM titers Biologic markers Cancer Longitudinal data Melanoma Cure rate model Random effects Survival model |
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