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A Semiparametric Marginalized Model for Longitudinal Data with Informative Dropout
Joint Authors
Source
Journal of Probability and Statistics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-09-29
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
We propose a marginalized joint-modeling approach for marginal inference on the association between longitudinal responses and covariates when longitudinal measurements are subject to informative dropouts.
The proposed model is motivated by the idea of linking longitudinal responses and dropout times by latent variables while focusing on marginal inferences.
We develop a simple inference procedure based on a series of estimating equations, and the resulting estimators are consistent and asymptotically normal with a sandwich-type covariance matrix ready to be estimated by the usual plug-in rule.
The performance of our approach is evaluated through simulations and illustrated with a renal disease data application.
American Psychological Association (APA)
Liu, Mengling& Lu, Wenbin. 2011. A Semiparametric Marginalized Model for Longitudinal Data with Informative Dropout. Journal of Probability and Statistics،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-494398
Modern Language Association (MLA)
Liu, Mengling& Lu, Wenbin. A Semiparametric Marginalized Model for Longitudinal Data with Informative Dropout. Journal of Probability and Statistics No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-494398
American Medical Association (AMA)
Liu, Mengling& Lu, Wenbin. A Semiparametric Marginalized Model for Longitudinal Data with Informative Dropout. Journal of Probability and Statistics. 2011. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-494398
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-494398