Document Detail


A frailty model for informative censoring.
MedLine Citation:
PMID:  12229985     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Xuelin Huang; Robert A Wolfe
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Biometrics     Volume:  58     ISSN:  0006-341X     ISO Abbreviation:  Biometrics     Publication Date:  2002 Sep 
Date Detail:
Created Date:  2002-09-16     Completed Date:  2003-04-07     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  United States    
Other Details:
Languages:  eng     Pagination:  510-20     Citation Subset:  IM    
Affiliation:
Department of Biostatistics, University of Michigan, Ann Arbor 48109-2029, USA. xueling@umich.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Biometry
Cluster Analysis
Humans
Models, Statistical*
Renal Dialysis / mortality
Survival Analysis*

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