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Article: Confidence intervals for a difference between proportions based on paired data

TitleConfidence intervals for a difference between proportions based on paired data
Authors
Tang, MLLing, MHLing, LTian, G
KeywordsAgresti-coull interval
Jeffreys interval
Method of variance estimates recovery
Paired binary data
Tango score interval
Wilson score interval
Issue Date2010
PublisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/
Citation
Statistics In Medicine, 2010, v. 29 n. 1, p. 86-96 How to Cite?
DOI: http://dx.doi.org/10.1002/sim.3738
AbstractWe construct several explicit asymptotic two-sided confidence intervals (CIs) for the difference between two correlated proportions using the method of variance of estimates recovery (MOVER). The basic idea is to recover variance estimates required for the proportion difference from the confidence limits for single proportions. The CI estimators for a single proportion, which are incorporated with the MOVER, include the Agresti-Coull, the Wilson, and the Jeffreys CIs. Our simulation results show that the MOVER-type CIs based on the continuity corrected U coefficient and the Tango score CI perform satisfactory in small sample designs and spare data structures. We illustrate the proposed CIs with several real examples. Copyright © 2009 John Wiley & Sons, Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/139710
ISSN
0277-6715
2021 Impact Factor: 2.497
2020 SCImago Journal Rankings: 1.996
ISI Accession Number ID
WOS:000273621500007
Funding AgencyGrant Number
Research Grant Council of the Hong Kong Special Administrative RegionHKBU261007
HKBU261508
Funding Information:

Contract/grant sponsor: Research Grant Council of the Hong Kong Special Administrative Region; contract/grant numbers: HKBU261007, HKBU261508

References
References in Scopus
Errata
http://dx.doi.org/10.1002/sim.3967

 

DC FieldValueLanguage
dc.contributor.authorTang, MLen_HK
dc.contributor.authorLing, MHen_HK
dc.contributor.authorLing, Len_HK
dc.contributor.authorTian, Gen_HK
dc.date.accessioned2011-09-23T05:54:43Z-
dc.date.available2011-09-23T05:54:43Z-
dc.date.issued2010en_HK
dc.identifier.citationStatistics In Medicine, 2010, v. 29 n. 1, p. 86-96en_HK
dc.identifier.issn0277-6715en_HK
dc.identifier.urihttp://hdl.handle.net/10722/139710-
dc.description.abstractWe construct several explicit asymptotic two-sided confidence intervals (CIs) for the difference between two correlated proportions using the method of variance of estimates recovery (MOVER). The basic idea is to recover variance estimates required for the proportion difference from the confidence limits for single proportions. The CI estimators for a single proportion, which are incorporated with the MOVER, include the Agresti-Coull, the Wilson, and the Jeffreys CIs. Our simulation results show that the MOVER-type CIs based on the continuity corrected U coefficient and the Tango score CI perform satisfactory in small sample designs and spare data structures. We illustrate the proposed CIs with several real examples. Copyright © 2009 John Wiley & Sons, Ltd.en_HK
dc.languageengen_US
dc.publisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/en_HK
dc.relation.ispartofStatistics in Medicineen_HK
dc.rightsStatistics in Medicine. Copyright © John Wiley & Sons Ltd.-
dc.subjectAgresti-coull intervalen_HK
dc.subjectJeffreys intervalen_HK
dc.subjectMethod of variance estimates recoveryen_HK
dc.subjectPaired binary dataen_HK
dc.subjectTango score intervalen_HK
dc.subjectWilson score intervalen_HK
dc.subject.meshComputer Simulation-
dc.subject.meshData Interpretation, Statistical-
dc.subject.meshCross-Over Studies-
dc.subject.meshRandomized Controlled Trials as Topic - methods-
dc.titleConfidence intervals for a difference between proportions based on paired dataen_HK
dc.typeArticleen_HK
dc.identifier.emailTian, G: gltian@hku.hken_HK
dc.identifier.authorityTian, G=rp00789en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/sim.3738en_HK
dc.identifier.pmid19823977-
dc.identifier.scopuseid_2-s2.0-74849123168en_HK
dc.identifier.hkuros195611en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-74849123168&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume29en_HK
dc.identifier.issue1en_HK
dc.identifier.spage86en_HK
dc.identifier.epage96en_HK
dc.identifier.eissn1097-0258-
dc.identifier.isiWOS:000273621500007-
dc.publisher.placeUnited Kingdomen_HK
dc.relation.erratumdoi:10.1002/sim.3967-
dc.identifier.scopusauthoridTang, ML=7401974011en_HK
dc.identifier.scopusauthoridLing, MH=26423822200en_HK
dc.identifier.scopusauthoridLing, L=14046813500en_HK
dc.identifier.scopusauthoridTian, G=25621549400en_HK
dc.identifier.citeulike5949965-
dc.identifier.issnl0277-6715-

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