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Analysis of Longitudinal and Survival Data : Joint Modeling, Inference Methods, and Issues
Joint Authors
Huang, Yangxin
Yi, Grace Y.
Wu, Lang
Liu, Wei
Source
Journal of Probability and Statistics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-12-07
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
In the past two decades, joint models of longitudinal and survival data have received much attention in the literature.
These models are often desirable in the following situations: (i) survival models with measurement errors or missing data in time-dependent covariates, (ii) longitudinal models with informative dropouts, and (iii) a survival process and a longitudinal process are associated via latent variables.
In these cases, separate inferences based on the longitudinal model and the survival model may lead to biased or inefficient results.
In this paper, we provide a brief overview of joint models for longitudinal and survival data and commonly used methods, including the likelihood method and two-stage methods.
American Psychological Association (APA)
Wu, Lang& Liu, Wei& Yi, Grace Y.& Huang, Yangxin. 2011. Analysis of Longitudinal and Survival Data : Joint Modeling, Inference Methods, and Issues. Journal of Probability and Statistics،Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-487387
Modern Language Association (MLA)
Wu, Lang…[et al.]. Analysis of Longitudinal and Survival Data : Joint Modeling, Inference Methods, and Issues. Journal of Probability and Statistics No. 2012 (2012), pp.1-17.
https://search.emarefa.net/detail/BIM-487387
American Medical Association (AMA)
Wu, Lang& Liu, Wei& Yi, Grace Y.& Huang, Yangxin. Analysis of Longitudinal and Survival Data : Joint Modeling, Inference Methods, and Issues. Journal of Probability and Statistics. 2011. Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-487387
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-487387