On application of the empirical Bayes shrinkage in epidemiological settings.

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.

authors

Zhao Y,Lee AH,Barnes T

doi

10.3390/ijerph7020380

subject

Has Abstract

pub_date

2010-02-01 00:00:00

pages

380-94

issue

2

eissn

1661-7827

issn

1660-4601

pii

ijerph7020380

journal_volume

7

pub_type

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