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Bounds for the weight of external data in shrinkage estimation.

dc.contributor.authorRöver, Christian
dc.contributor.authorFriede, Tim
dc.date.accessioned2021-06-04T11:07:02Z
dc.date.available2021-06-04T11:07:02Z
dc.date.issued2021-02-25de
dc.relation.ISSN1521-4036de
dc.identifier.urihttp://resolver.sub.uni-goettingen.de/purl?gs-1/17830
dc.description.abstractShrinkage estimation in a meta-analysis framework may be used to facilitate dynamical borrowing of information. This framework might be used to analyze a new study in the light of previous data, which might differ in their design (e.g., a randomized controlled trial and a clinical registry). We show how the common study weights arise in effect and shrinkage estimation, and how these may be generalized to the case of Bayesian meta-analysis. Next we develop simple ways to compute bounds on the weights, so that the contribution of the external evidence may be assessed a priori. These considerations are illustrated and discussed using numerical examples, including applications in the treatment of Creutzfeldt-Jakob disease and in fetal monitoring to prevent the occurrence of metabolic acidosis. The target study's contribution to the resulting estimate is shown to be bounded below. Therefore, concerns of evidence being easily overwhelmed by external data are largely unwarranted.de
dc.languageeng
dc.language.isoengde
dc.rightsopenAccess
dc.rightsNamensnennung 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectBayesian statistics; between-study heterogeneity; inverse-variance weights; random-effects meta-analysis; shrinkage estimationde
dc.subject.ddc610
dc.titleBounds for the weight of external data in shrinkage estimation.de
dc.typejournalArticlede
dc.identifier.doi10.1002/bimj.202000227
dc.type.versionpublishedVersionde
dc.bibliographicCitation.volume63de
dc.bibliographicCitation.issue5de
dc.bibliographicCitation.firstPage1131de
dc.bibliographicCitation.lastPage1143de
dc.type.subtypejournalArticle
dc.identifier.pmid33629749
dc.description.statuspeerReviewedde
dc.bibliographicCitation.journalBiometrical journal. Biometrische Zeitschriftde


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