Document Detail


On application of the empirical Bayes shrinkage in epidemiological settings.
MedLine Citation:
PMID:  20616980     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper aims to provide direct and indirect evidence on setting up rules for applications of the empirical Bayes shrinkage (EBS), and offers cautionary remarks concerning its applicability. In epidemiology, there is still a lack of relevant criteria in the application of EBS. The bias of the shrinkage estimator is investigated in terms of the sums of errors, squared errors and absolute errors, for both total and individual groups. The study reveals that assessing the underlying exchangeability assumption is important for appropriate use of EBS. The performance of EBS is indicated by a ratio statistic f of the between-group and within-group mean variances. If there are significant differences between the sample means, EBS is likely to produce erratic and even misleading information.
Authors:
Yuejen Zhao; Andy H Lee; Tony Barnes
Publication Detail:
Type:  Journal Article     Date:  2010-01-28
Journal Detail:
Title:  International journal of environmental research and public health     Volume:  7     ISSN:  1660-4601     ISO Abbreviation:  Int J Environ Res Public Health     Publication Date:  2010 Feb 
Date Detail:
Created Date:  2010-07-09     Completed Date:  2010-10-05     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101238455     Medline TA:  Int J Environ Res Public Health     Country:  Switzerland    
Other Details:
Languages:  eng     Pagination:  380-94     Citation Subset:  IM    
Affiliation:
Institute of Advanced Studies, Charles Darwin University, Darwin NT 0909, Australia.
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MeSH Terms
Descriptor/Qualifier:
Analysis of Variance
Bayes Theorem*
Empirical Research
Epidemiologic Studies*
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