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Bayesian analysis of recurrent event with dependent termination: an application to a heart transplant study.
MedLine Citation:
PMID:  23280968     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
For a heart transplant patient, the risk of graft rejection and risk of death are likely to be associated. Two fully specified Bayesian models for recurrent events with dependent termination are applied to investigate the potential relationships between these two types of risk as well as association with risk factors. We particularly focus on the choice of priors, selection of the appropriate prediction model, and prediction methods for these two types of risk for an individual patient. Our prediction tools can be easily implemented and helpful to physicians for setting heart transplant patients' biopsy schedule. Copyright © 2012 John Wiley & Sons, Ltd.
Authors:
Bichun Ouyang; Debajyoti Sinha; Elizabeth H Slate; Adrian B Van Bakel
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-12-19
Journal Detail:
Title:  Statistics in medicine     Volume:  -     ISSN:  1097-0258     ISO Abbreviation:  Stat Med     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2013-1-2     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 John Wiley & Sons, Ltd.
Affiliation:
Department of Neurological Sciences, Rush University Medical Center, 1725 W. Harrison St., Ste. 755, Chicago, IL, 60612, U.S.A.
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