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Article: Bayesian semiparametric cure rate model with an unknown threshold

TitleBayesian semiparametric cure rate model with an unknown threshold
Authors
KeywordsBayesian non-parametrics
Cure model
Cure threshold model
Discrete Markov gamma process
Mixture prior
Survival analysis
Issue Date2008
PublisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/SJOS
Citation
Scandinavian Journal Of Statistics, 2008, v. 35 n. 3, p. 540-556 How to Cite?
AbstractWe propose a Bayesian semiparametric model for survival data with a cure fraction. We explicitly consider a finite cure time in the model, which allows us to separate the cured and the uncured populations. We take a mixture prior of a Markov gamma process and a point mass at zero to model the baseline hazard rate function of the entire population. We focus on estimating the cure threshold after which subjects are considered cured. We can incorporate covariates through a structure similar to the proportional hazards model and allow the cure threshold also to depend on the covariates. For illustration, we undertake simulation studies and a full Bayesian analysis of a bone marrow transplant data set. © Board of the Foundation of the Scandinavian Journal of Statistics 2008.
Persistent Identifierhttp://hdl.handle.net/10722/146588
ISSN
2015 Impact Factor: 0.908
2015 SCImago Journal Rankings: 1.362
ISI Accession Number ID
Funding AgencyGrant Number
Asociacion Mexicana de Cultura, A.C, Mexico
Physician Referral Service at M.D
Anderson Cancer Center
U.S. Department of DefenseW81XWH-05-2-0027
Funding Information:

We would like to thank the referee, associate editor and editor For helpful comments that substantially improved the paper. The research of the first author was partially supported by Asociacion Mexicana de Cultura, A.C, Mexico, and the second author by funds from the Physician Referral Service at M.D. Anderson Cancer Center and the U.S. Department of Defense grant W81XWH-05-2-0027.

References

 

DC FieldValueLanguage
dc.contributor.authorNietoBarajas, LEen_HK
dc.contributor.authorYin, Gen_HK
dc.date.accessioned2012-05-02T08:37:14Z-
dc.date.available2012-05-02T08:37:14Z-
dc.date.issued2008en_HK
dc.identifier.citationScandinavian Journal Of Statistics, 2008, v. 35 n. 3, p. 540-556en_HK
dc.identifier.issn0303-6898en_HK
dc.identifier.urihttp://hdl.handle.net/10722/146588-
dc.description.abstractWe propose a Bayesian semiparametric model for survival data with a cure fraction. We explicitly consider a finite cure time in the model, which allows us to separate the cured and the uncured populations. We take a mixture prior of a Markov gamma process and a point mass at zero to model the baseline hazard rate function of the entire population. We focus on estimating the cure threshold after which subjects are considered cured. We can incorporate covariates through a structure similar to the proportional hazards model and allow the cure threshold also to depend on the covariates. For illustration, we undertake simulation studies and a full Bayesian analysis of a bone marrow transplant data set. © Board of the Foundation of the Scandinavian Journal of Statistics 2008.en_HK
dc.languageengen_US
dc.publisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/SJOSen_HK
dc.relation.ispartofScandinavian Journal of Statisticsen_HK
dc.subjectBayesian non-parametricsen_HK
dc.subjectCure modelen_HK
dc.subjectCure threshold modelen_HK
dc.subjectDiscrete Markov gamma processen_HK
dc.subjectMixture prioren_HK
dc.subjectSurvival analysisen_HK
dc.titleBayesian semiparametric cure rate model with an unknown thresholden_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.doi10.1111/j.1467-9469.2007.00589.xen_HK
dc.identifier.scopuseid_2-s2.0-50249127227en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-50249127227&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume35en_HK
dc.identifier.issue3en_HK
dc.identifier.spage540en_HK
dc.identifier.epage556en_HK
dc.identifier.isiWOS:000259037300009-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridNietoBarajas, LE=7801520981en_HK
dc.identifier.scopusauthoridYin, G=8725807500en_HK
dc.identifier.citeulike3156124-

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