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Article: A nonparametric test for interval-censored failure time data with unequal censoring

TitleA nonparametric test for interval-censored failure time data with unequal censoring
Authors
KeywordsInterval-censored data
Linear functional
Two sample comparison
Unequal censoring
Issue Date2008
PublisherTaylor & Francis Inc. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/03610926.asp
Citation
Communications In Statistics - Theory And Methods, 2008, v. 37 n. 12, p. 1895-1904 How to Cite?
AbstractThis article considers nonparametric comparison of survival functions, one of the most commonly required task in survival studies. For this, several test procedures have been proposed for interval-censored failure time data in which distributions of censoring intervals are identical among different treatment groups. Sometimes the distributions may depend on treatments and thus not be the same. A class of test statistics is proposed for situations where the distributions may be different for subjects in different treatment groups. The asymptotic normality of the test statistics is established and the test procedure is evaluated by simulations, which suggest that it works well for practical situations. An illustrative example is provided.
Persistent Identifierhttp://hdl.handle.net/10722/59854
ISSN
2015 Impact Factor: 0.3
2015 SCImago Journal Rankings: 0.518
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorZhu, Cen_HK
dc.contributor.authorYuen, KCen_HK
dc.contributor.authorSun, Jen_HK
dc.contributor.authorZhao, Xen_HK
dc.date.accessioned2010-05-31T03:58:50Z-
dc.date.available2010-05-31T03:58:50Z-
dc.date.issued2008en_HK
dc.identifier.citationCommunications In Statistics - Theory And Methods, 2008, v. 37 n. 12, p. 1895-1904en_HK
dc.identifier.issn0361-0926en_HK
dc.identifier.urihttp://hdl.handle.net/10722/59854-
dc.description.abstractThis article considers nonparametric comparison of survival functions, one of the most commonly required task in survival studies. For this, several test procedures have been proposed for interval-censored failure time data in which distributions of censoring intervals are identical among different treatment groups. Sometimes the distributions may depend on treatments and thus not be the same. A class of test statistics is proposed for situations where the distributions may be different for subjects in different treatment groups. The asymptotic normality of the test statistics is established and the test procedure is evaluated by simulations, which suggest that it works well for practical situations. An illustrative example is provided.en_HK
dc.languageengen_HK
dc.publisherTaylor & Francis Inc. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/03610926.aspen_HK
dc.relation.ispartofCommunications in Statistics - Theory and Methodsen_HK
dc.subjectInterval-censored dataen_HK
dc.subjectLinear functionalen_HK
dc.subjectTwo sample comparisonen_HK
dc.subjectUnequal censoringen_HK
dc.titleA nonparametric test for interval-censored failure time data with unequal censoringen_HK
dc.typeArticleen_HK
dc.identifier.emailYuen, KC: kcyuen@hku.hken_HK
dc.identifier.authorityYuen, KC=rp00836en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/03610920801893590en_HK
dc.identifier.scopuseid_2-s2.0-42149094344en_HK
dc.identifier.hkuros145387en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-42149094344&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume37en_HK
dc.identifier.issue12en_HK
dc.identifier.spage1895en_HK
dc.identifier.epage1904en_HK
dc.identifier.isiWOS:000254822800006-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridZhu, C=26430167900en_HK
dc.identifier.scopusauthoridYuen, KC=7202333703en_HK
dc.identifier.scopusauthoridSun, J=34973730500en_HK
dc.identifier.scopusauthoridZhao, X=8388595800en_HK

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