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Article: A partial likelihood estimator of vaccine efficacy

TitleA partial likelihood estimator of vaccine efficacy
Authors
Yip, PSFChen, Q
KeywordsCounting Process Models
Martingale
Maximum Likelihood Estimation
Partial Likelihood
Vaccine Efficacy
Issue Date2000
PublisherBlackwell Publishing Asia. The Journal's web site is located at http://www.blackwellpublishing.com/journals/ANZS
Citation
Australian And New Zealand Journal Of Statistics, 2000, v. 42 n. 3, p. 367-374 How to Cite?
DOI: http://dx.doi.org/10.1111/1467-842X.00133
AbstractA partial likelihood method is proposed for estimating vaccine efficacy for a general epidemic model. In contrast to the maximum likelihood estimator (MLE) which requires complete observation of the epidemic, the suggested method only requires information on the sequence in which individuals are infected and not the exact infection times. A simulation study shows that the method performs almost as well as the MLE. The method is applied to data on the infectious disease mumps. © Australian Statistical Publishing Association Inc. 2000. Published by Blackwell Publishers Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/172033
ISSN
1369-1473
2021 Impact Factor: 0.867
2020 SCImago Journal Rankings: 0.434
ISI Accession Number ID
WOS:000089174500011
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorYip, PSFen_US
dc.contributor.authorChen, Qen_US
dc.date.accessioned2012-10-30T06:19:45Z-
dc.date.available2012-10-30T06:19:45Z-
dc.date.issued2000en_US
dc.identifier.citationAustralian And New Zealand Journal Of Statistics, 2000, v. 42 n. 3, p. 367-374en_US
dc.identifier.issn1369-1473en_US
dc.identifier.urihttp://hdl.handle.net/10722/172033-
dc.description.abstractA partial likelihood method is proposed for estimating vaccine efficacy for a general epidemic model. In contrast to the maximum likelihood estimator (MLE) which requires complete observation of the epidemic, the suggested method only requires information on the sequence in which individuals are infected and not the exact infection times. A simulation study shows that the method performs almost as well as the MLE. The method is applied to data on the infectious disease mumps. © Australian Statistical Publishing Association Inc. 2000. Published by Blackwell Publishers Ltd.en_US
dc.languageengen_US
dc.publisherBlackwell Publishing Asia. The Journal's web site is located at http://www.blackwellpublishing.com/journals/ANZSen_US
dc.relation.ispartofAustralian and New Zealand Journal of Statisticsen_US
dc.subjectCounting Process Modelsen_US
dc.subjectMartingaleen_US
dc.subjectMaximum Likelihood Estimationen_US
dc.subjectPartial Likelihooden_US
dc.subjectVaccine Efficacyen_US
dc.titleA partial likelihood estimator of vaccine efficacyen_US
dc.typeArticleen_US
dc.identifier.emailYip, PSF: sfpyip@hku.hken_US
dc.identifier.authorityYip, PSF=rp00596en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1111/1467-842X.00133-
dc.identifier.scopuseid_2-s2.0-0034374561en_US
dc.identifier.hkuros60232-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0034374561&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume42en_US
dc.identifier.issue3en_US
dc.identifier.spage367en_US
dc.identifier.epage374en_US
dc.identifier.isiWOS:000089174500011-
dc.publisher.placeAustraliaen_US
dc.identifier.scopusauthoridYip, PSF=7102503720en_US
dc.identifier.scopusauthoridChen, Q=7406335304en_US
dc.identifier.issnl1369-1473-

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