dc.contributor.author |
Bou-Hamad I. |
dc.contributor.author |
Larocque D. |
dc.contributor.author |
Ben-Ameur H. |
dc.contributor.editor |
|
dc.date |
2011 |
dc.date.accessioned |
2017-09-07T07:51:26Z |
dc.date.available |
2017-09-07T07:51:26Z |
dc.date.issued |
2011 |
dc.identifier |
10.1214/09-SS047 |
dc.identifier.isbn |
|
dc.identifier.issn |
19357516 |
dc.identifier.uri |
http://hdl.handle.net/10938/12150 |
dc.description.abstract |
This paper presents a non-technical account of the developments in tree-based methods for the analysis of survival data with censoring. This review describes the initial developments, which mainly extended the existing basic tree methodologies to censored data as well as to more recent work. We also cover more complex models, more specialized methods, and more specific problems such as multivariate data, the use of time-varying covariates, discrete-scale survival data, and ensemble methods applied to survival trees. A data example is used to illustrate some methods that are implemented in R. |
dc.format.extent |
|
dc.format.extent |
Pages: (44-71) |
dc.language |
English |
dc.relation.ispartof |
Publication Name: Statistics Surveys; Publication Year: 2011; Volume: 5; Pages: (44-71); |
dc.relation.ispartofseries |
|
dc.relation.uri |
|
dc.source |
Scopus |
dc.subject.other |
|
dc.title |
A review of survival trees |
dc.type |
Article |
dc.contributor.affiliation |
Bou-Hamad, I., Department of Business Information and Decision Systems, Olayan School of Business, American University of Beirut 1107, 2020 Beirut, Lebanon |
dc.contributor.affiliation |
Larocque, D., Department of Management Sciences, HEC Montréal 3000, Montréal, QC H3T 2A7, Canada |
dc.contributor.affiliation |
Ben-Ameur, H., Department of Management Sciences, HEC Montréal 3000, Montréal, QC H3T 2A7, Canada |
dc.contributor.authorAddress |
Larocque, D.; Department of Management Sciences, HEC Montréal 3000, Montréal, QC H3T 2A7, Canada; email: denis.larocque@hec.ca |
dc.contributor.authorCorporate |
University: American University of Beirut; Faculty: Suliman S. Olayan School of Business; Department: School of Business; |
dc.contributor.authorDepartment |
School of Business |
dc.contributor.authorDivision |
|
dc.contributor.authorEmail |
|
dc.contributor.faculty |
Suliman S. Olayan School of Business |
dc.contributor.authorInitials |
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dc.contributor.authorOrcidID |
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dc.contributor.authorReprintAddress |
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dc.contributor.authorResearcherID |
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dc.contributor.authorUniversity |
American University of Beirut |
dc.description.cited |
|
dc.description.citedCount |
7 |
dc.description.citedTotWOSCount |
|
dc.description.citedWOSCount |
|
dc.format.extentCount |
28 |
dc.identifier.articleNo |
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dc.identifier.coden |
|
dc.identifier.pubmedID |
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dc.identifier.scopusID |
84857308440 |
dc.identifier.url |
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dc.publisher.address |
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dc.relation.ispartofConference |
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dc.relation.ispartofConferenceCode |
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dc.relation.ispartofConferenceDate |
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dc.relation.ispartofConferenceHosting |
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dc.relation.ispartofConferenceLoc |
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dc.relation.ispartofConferenceSponsor |
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dc.relation.ispartofConferenceTitle |
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dc.relation.ispartofFundingAgency |
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dc.relation.ispartOfISOAbbr |
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dc.relation.ispartOfIssue |
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dc.relation.ispartOfPart |
|
dc.relation.ispartofPubTitle |
Statistics Surveys |
dc.relation.ispartofPubTitleAbbr |
Stat. Surv |
dc.relation.ispartOfSpecialIssue |
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dc.relation.ispartOfSuppl |
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dc.relation.ispartOfVolume |
5 |
dc.source.ID |
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dc.type.publication |
Journal |
dc.subject.otherAuthKeyword |
Bagging |
dc.subject.otherAuthKeyword |
CART |
dc.subject.otherAuthKeyword |
Discrete-time |
dc.subject.otherAuthKeyword |
Ensemble methods |
dc.subject.otherAuthKeyword |
Right-censored data |
dc.subject.otherAuthKeyword |
Survival forest |
dc.subject.otherAuthKeyword |
Survival trees |
dc.subject.otherAuthKeyword |
Time-varying covariate |
dc.subject.otherAuthKeyword |
Time-varying effect |
dc.subject.otherChemCAS |
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dc.subject.otherIndex |
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dc.subject.otherKeywordPlus |
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dc.subject.otherWOS |
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