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Article: A test of fit for a semiparametric additive risk model

TitleA test of fit for a semiparametric additive risk model
Authors
Yuen, KCBurke, MD
KeywordsAdditive Risk
Baseline Hazard Function
Bootstrap
Cumulative Hazard
Empirical Process
Gaussian Process
Goodness Of Fit
Random Censorship
Survival Times
Issue Date1997
PublisherOxford University Press. The Journal's web site is located at http://biomet.oxfordjournals.org/
Citation
Biometrika, 1997, v. 84 n. 3, p. 631-639 How to Cite?
AbstractKolmogorov-Smirnov and Cramér-von Mises type test statistics based on the standardised cumulative hazard process are proposed. It is very difficult to evaluate their asymptotic distributions, but they can be approximated by the use of the bootstrap. The advantages of the goodness-of-fit test are that arbitrary partitions of the time axis and covariate spaces are not needed for evaluating test statistics and that it has excellent consistency properties. The test is applied to data from the Mayo Clinic trial in primary biliary cirrhosis of the liver. A simulation study indicates that the proposed test is suitable for practical use.
Persistent Identifierhttp://hdl.handle.net/10722/172365
ISSN
0006-3444
2021 Impact Factor: 3.028
2020 SCImago Journal Rankings: 3.307
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorYuen, KCen_US
dc.contributor.authorBurke, MDen_US
dc.date.accessioned2012-10-30T06:22:10Z-
dc.date.available2012-10-30T06:22:10Z-
dc.date.issued1997en_US
dc.identifier.citationBiometrika, 1997, v. 84 n. 3, p. 631-639en_US
dc.identifier.issn0006-3444en_US
dc.identifier.urihttp://hdl.handle.net/10722/172365-
dc.description.abstractKolmogorov-Smirnov and Cramér-von Mises type test statistics based on the standardised cumulative hazard process are proposed. It is very difficult to evaluate their asymptotic distributions, but they can be approximated by the use of the bootstrap. The advantages of the goodness-of-fit test are that arbitrary partitions of the time axis and covariate spaces are not needed for evaluating test statistics and that it has excellent consistency properties. The test is applied to data from the Mayo Clinic trial in primary biliary cirrhosis of the liver. A simulation study indicates that the proposed test is suitable for practical use.en_US
dc.languageengen_US
dc.publisherOxford University Press. The Journal's web site is located at http://biomet.oxfordjournals.org/en_US
dc.relation.ispartofBiometrikaen_US
dc.subjectAdditive Risken_US
dc.subjectBaseline Hazard Functionen_US
dc.subjectBootstrapen_US
dc.subjectCumulative Hazarden_US
dc.subjectEmpirical Processen_US
dc.subjectGaussian Processen_US
dc.subjectGoodness Of Fiten_US
dc.subjectRandom Censorshipen_US
dc.subjectSurvival Timesen_US
dc.titleA test of fit for a semiparametric additive risk modelen_US
dc.typeArticleen_US
dc.identifier.emailYuen, KC: kcyuen@hku.hken_US
dc.identifier.authorityYuen, KC=rp00836en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0001372733en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0001372733&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume84en_US
dc.identifier.issue3en_US
dc.identifier.spage631en_US
dc.identifier.epage639en_US
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridYuen, KC=7202333703en_US
dc.identifier.scopusauthoridBurke, MD=7402866439en_US
dc.identifier.issnl0006-3444-

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