| A frailty model for informative censoring. | |
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MedLine Citation:
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PMID: 12229985 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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To account for the correlation between failure and censoring, we propose a new frailty model for clustered data. In this model, the risk to be censored is affected by the risk of failure. This model allows flexibility in the direction and degree of dependence between failure and censoring. It includes the traditional frailty model as a special case. It allows censoring by some causes to be analyzed as informative while treating censoring by other causes as noninformative. It can also analyze data for competing risks. To fit the model, the EM algorithm is used with Markov chain Monte Carlo simulations in the E-steps. Simulation studies and analysis of data for kidney disease patients are provided. Consequences of incorrectly assuming noninformative censoring are investigated. |
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Authors:
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Xuelin Huang; Robert A Wolfe |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Biometrics Volume: 58 ISSN: 0006-341X ISO Abbreviation: Biometrics Publication Date: 2002 Sep |
Date Detail:
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Created Date: 2002-09-16 Completed Date: 2003-04-07 Revised Date: 2004-11-17 |
Medline Journal Info:
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Nlm Unique ID: 0370625 Medline TA: Biometrics Country: United States |
Other Details:
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Languages: eng Pagination: 510-20 Citation Subset: IM |
Affiliation:
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Department of Biostatistics, University of Michigan, Ann Arbor 48109-2029, USA. xueling@umich.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Biometry Cluster Analysis Humans Models, Statistical* Renal Dialysis / mortality Survival Analysis* |
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