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On Bayesian Estimation in Group Screening Designs without Errors in Decisions

Show simple item record Muhua, G. O. Ottieno, J. A. M. 2018-08-01T05:35:20Z 2018-08-01T05:35:20Z 2016
dc.identifier.issn 2384-4795
dc.description.abstract Group screening or testing has long been recognized as a safe and sensible alternative to one-at-a-time testing in applications wherein the prevalence rate p is small. In this paper, we developed an Empirical Bayes (EB) procedure to estimate p using a beta-type prior distribution and a squared error loss function. We showed that the Empirical Bayes (EB) estimator is preferred over the usual Maximum Likelihood Estimator (MLE) for small group sizes and small p. The methods were illustrated using group testing data from a prospective hepatitis C virus study that was conducted in China. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International *
dc.rights.uri *
dc.subject Composite sampling
dc.subject empirical Bayes estimation
dc.subject pooling designs
dc.subject screening experiments
dc.title On Bayesian Estimation in Group Screening Designs without Errors in Decisions en_US
dc.type Article en_US
dc.volume 03
dc.issue 01
dc.source.title International Journal of Computational and Theoretical Statistics
dc.abbreviatedsourcetitle IJCTS

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