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On Application of the Empirical Bayes Shrinkage in Epidemiological Settings

Zhao, Yuejen, Lee, Andy H. and Barnes, Tony (2010). On Application of the Empirical Bayes Shrinkage in Epidemiological Settings. International Journal of Environmental Research and Public Health,7:380-394.

Document type: Journal Article
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IRMA ID 81704288xPUB66
Title On Application of the Empirical Bayes Shrinkage in Epidemiological Settings
Author Zhao, Yuejen
Lee, Andy H.
Barnes, Tony
Journal Name International Journal of Environmental Research and Public Health
Publication Date 2010
Volume Number 7
ISSN 1660-4601   (check CDU catalogue open catalogue search in new window)
Start Page 380
End Page 394
Total Pages 14
Place of Publication Switzerland
Publisher M D P I AG
HERDC Category C1 - Journal Article (DIISR)
Abstract 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.
Keywords Analysis or variance
Computer simulation
Reliability and validity
Statistical bias
Statistical data analysis
DOI   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
Additional Notes This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Description for Link Link to CC Attribution 3.0 License

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