Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/25678
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dc.contributor.authorHENDRICKX, Kim-
dc.contributor.authorJANSSEN, Paul-
dc.contributor.authorVERHASSELT, Anneleen-
dc.date.accessioned2018-03-07T09:11:20Z-
dc.date.available2018-03-07T09:11:20Z-
dc.date.issued2018-
dc.identifier.citationTEST, 27(4), p. 871-895-
dc.identifier.issn1133-0686-
dc.identifier.urihttp://hdl.handle.net/1942/25678-
dc.description.abstractWe consider P-spline smoothing in a varying coefficient regression model when the response is subject to random right censoring.We introduce two data transformation approaches to construct a synthetic response vector that is used in a penalized least squares optimization problem. We prove the consistency and asymptotic normality of the P-spline estimators for a diverging number of knots and show by simulation studies and real data examples that the combination of a data transformation for censored observations with P-spline smoothing leads to good estimators of the varying coefficient functions.-
dc.description.sponsorshipThe research of the first author was supported by the Research Foundation Flanders (FWO) (Grant No. 11W7315N). Support from the IAP Research Network P7/06 of the Belgian State (Belgian Science Policy) is gratefully acknowledged. For the simulations, we used the infrastructure of the VSC - Flemish Supercomputer Center, funded by the Hercules Foundation and the Flemish Government - department EWI.-
dc.language.isoen-
dc.rights© Sociedad de Estadística e Investigación Operativa 2017-
dc.subject.othercensoring; nonparametric statistics; P-splines; regularization; varying coefficient model-
dc.titlePenalized spline estimation in varying coefficient models with censored data-
dc.typeJournal Contribution-
dc.identifier.epage895-
dc.identifier.issue4-
dc.identifier.spage871-
dc.identifier.volume27-
local.format.pages25-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.identifier.vabbc:vabb:437720-
local.type.programmeVSC-
dc.identifier.doi10.1007/s11749-017-0574-y-
dc.identifier.isi000450660500010-
item.validationecoom 2019-
item.validationvabb 2019-
item.contributorHENDRICKX, Kim-
item.contributorJANSSEN, Paul-
item.contributorVERHASSELT, Anneleen-
item.fullcitationHENDRICKX, Kim; JANSSEN, Paul & VERHASSELT, Anneleen (2018) Penalized spline estimation in varying coefficient models with censored data. In: TEST, 27(4), p. 871-895.-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
crisitem.journal.issn1133-0686-
crisitem.journal.eissn1863-8260-
Appears in Collections:Research publications
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