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Article: Pair chart test for an early survival difference

TitlePair chart test for an early survival difference
Authors
KeywordsEarly treatment effect
Log-rank test
Pair chart statistic
Survival comparison
Issue Date2005
PublisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1380-7870
Citation
Lifetime Data Analysis, 2005, v. 11 n. 1, p. 117-129 How to Cite?
AbstractThe log-rank test is commonly used in comparing survival distributions between treatment and control groups in clinical trials. However, in many studies, the treatment is only effective at the early stage of the trial. Especially when the two survival curves cross, the log-rank test has a low statistical power to show the survival difference. We propose a test statistic for detecting such an early difference between the two treatment arms. The new test has an intuitive geometric interpretation based on a pair chart and is shown to have more power than the log-rank test when the treatment effect only appears in the early phase of the study. This advantage is evaluated for finite sample sizes in simulation studies. Finally, the proposed method is illustrated with a real data example of patients with gastric cancer. © 2005 Springer Science+Business Media, Inc.
Persistent Identifierhttp://hdl.handle.net/10722/146557
ISSN
2015 Impact Factor: 0.81
2015 SCImago Journal Rankings: 0.717
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYin, Gen_HK
dc.contributor.authorZeng, Den_HK
dc.date.accessioned2012-05-02T08:36:59Z-
dc.date.available2012-05-02T08:36:59Z-
dc.date.issued2005en_HK
dc.identifier.citationLifetime Data Analysis, 2005, v. 11 n. 1, p. 117-129en_HK
dc.identifier.issn1380-7870en_HK
dc.identifier.urihttp://hdl.handle.net/10722/146557-
dc.description.abstractThe log-rank test is commonly used in comparing survival distributions between treatment and control groups in clinical trials. However, in many studies, the treatment is only effective at the early stage of the trial. Especially when the two survival curves cross, the log-rank test has a low statistical power to show the survival difference. We propose a test statistic for detecting such an early difference between the two treatment arms. The new test has an intuitive geometric interpretation based on a pair chart and is shown to have more power than the log-rank test when the treatment effect only appears in the early phase of the study. This advantage is evaluated for finite sample sizes in simulation studies. Finally, the proposed method is illustrated with a real data example of patients with gastric cancer. © 2005 Springer Science+Business Media, Inc.en_HK
dc.languageengen_US
dc.publisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1380-7870en_HK
dc.relation.ispartofLifetime Data Analysisen_HK
dc.subjectEarly treatment effecten_HK
dc.subjectLog-rank testen_HK
dc.subjectPair chart statisticen_HK
dc.subjectSurvival comparisonen_HK
dc.subject.meshBiometryen_US
dc.subject.meshControlled Clinical Trials As Topic - Statistics & Numerical Dataen_US
dc.subject.meshData Interpretation, Statisticalen_US
dc.subject.meshHumansen_US
dc.subject.meshModels, Statisticalen_US
dc.subject.meshSensitivity And Specificityen_US
dc.subject.meshStatistics, Nonparametricen_US
dc.subject.meshSurvival Analysisen_US
dc.titlePair chart test for an early survival differenceen_HK
dc.typeArticleen_HK
dc.identifier.emailYin, G: gyin@hku.hken_HK
dc.identifier.authorityYin, G=rp00831en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/s10985-004-5643-3en_HK
dc.identifier.pmid15747593-
dc.identifier.scopuseid_2-s2.0-14944372464en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-14944372464&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume11en_HK
dc.identifier.issue1en_HK
dc.identifier.spage117en_HK
dc.identifier.epage129en_HK
dc.identifier.isiWOS:000227178100007-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridYin, G=8725807500en_HK
dc.identifier.scopusauthoridZeng, D=8725807700en_HK
dc.identifier.citeulike107644-

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