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A method for determining groups in multiple survival curves

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Resumo:Survival analysis includes a wide variety of methods for analyzing time‐to‐event data. One basic but important goal in survival analysis is the comparison of survival curves between groups. Several nonparametric methods have been proposed in the literature to test for the equality of survival curves for censored data. When the null hypothesis of equality of curves is rejected, leading to the clear conclusion that at least one curve is different, it can be interesting to ascertain whether curves can be grouped or if all these curves are different from each other. A method is proposed that allows determining groups with an automatic selection of their number. The validity and behavior of the proposed method was evaluated through simulation studies. The applicability of the proposed method is illustrated using real data. Software in the form of an R package has been developed implementing the proposed method.
Autores principais:Villanueva, Nora
Outros Autores:Sestelo, Marta; Machado, Luís Meira
Assunto:Log-rank test Multiple survival curves Number of groups Survival analysis
Ano:2019
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso restrito
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
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author Villanueva, Nora
author2 Sestelo, Marta
Machado, Luís Meira
author2_role author
author
author_facet Villanueva, Nora
Sestelo, Marta
Machado, Luís Meira
author_role author
contributor_name_str_mv Universidade do Minho
country_str PT
creators_json_txt [{\"Person.name\":\"Villanueva, Nora\"},{\"Person.name\":\"Sestelo, Marta\"},{\"Person.name\":\"Machado, Luís Meira\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Universidade do Minho
datacite.creators.creator.creatorName.fl_str_mv Villanueva, Nora
Sestelo, Marta
Machado, Luís Meira
datacite.date.Accepted.fl_str_mv 2019-02-28T00:00:00Z
datacite.date.embargoed.fl_str_mv 10000-01-01T00:00:00Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_16ec
datacite.subjects.subject.fl_str_mv Log-rank test
Multiple survival curves
Number of groups
Survival analysis
datacite.titles.title.fl_str_mv A method for determining groups in multiple survival curves
dc.contributor.none.fl_str_mv Universidade do Minho
dc.creator.none.fl_str_mv Villanueva, Nora
Sestelo, Marta
Machado, Luís Meira
dc.date.Accepted.fl_str_mv 2019-02-28T00:00:00Z
dc.date.embargoed.fl_str_mv 10000-01-01T00:00:00Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://hdl.handle.net/1822/69558
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Wiley
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.rights.copyright.fl_str_mv restrictedAccess
dc.subject.none.fl_str_mv Log-rank test
Multiple survival curves
Number of groups
Survival analysis
dc.title.fl_str_mv A method for determining groups in multiple survival curves
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description Survival analysis includes a wide variety of methods for analyzing time‐to‐event data. One basic but important goal in survival analysis is the comparison of survival curves between groups. Several nonparametric methods have been proposed in the literature to test for the equality of survival curves for censored data. When the null hypothesis of equality of curves is rejected, leading to the clear conclusion that at least one curve is different, it can be interesting to ascertain whether curves can be grouped or if all these curves are different from each other. A method is proposed that allows determining groups with an automatic selection of their number. The validity and behavior of the proposed method was evaluated through simulation studies. The applicability of the proposed method is illustrated using real data. Software in the form of an R package has been developed implementing the proposed method.
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eu_rights_str_mv restrictedAccess
format article
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id rum_f295ca0b10061bb5aef126caa3d5bb8a
identifier.url.fl_str_mv https://hdl.handle.net/1822/69558
instacron_str repositorium
institution Universidade do Minho
instname_str Universidade do Minho
language eng
network_acronym_str rum
network_name_str RepositóriUM - Universidade do Minho
oai_identifier_str oai:repositorium.uminho.pt:1822/69558
organization_str_mv urn:organizationAcronym:repositorium
person_str_mv Villanueva, Nora
Sestelo, Marta
Machado, Luís Meira
publishDate 2019
publisher.none.fl_str_mv Wiley
reponame_str RepositóriUM - Universidade do Minho
repository_id_str urn:repositoryAcronym:rum
service_str_mv urn:repositoryAcronym:rum
spelling engWileyporSurvival analysis includes a wide variety of methods for analyzing time‐to‐event data. One basic but important goal in survival analysis is the comparison of survival curves between groups. Several nonparametric methods have been proposed in the literature to test for the equality of survival curves for censored data. When the null hypothesis of equality of curves is rejected, leading to the clear conclusion that at least one curve is different, it can be interesting to ascertain whether curves can be grouped or if all these curves are different from each other. A method is proposed that allows determining groups with an automatic selection of their number. The validity and behavior of the proposed method was evaluated through simulation studies. The applicability of the proposed method is illustrated using real data. Software in the form of an R package has been developed implementing the proposed method.application/pdfporA method for determining groups in multiple survival curvesVillanueva, NoraSestelo, MartaMachado, Luís MeiraHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISSNIsPartOf0277-6715DOIIsPartOf10.1002/sim.80162019-02-2810000-01-01T00:00:00Z2019-02-28T00:00:00ZHandlehttps://hdl.handle.net/1822/69558http://purl.org/coar/access_right/c_16ecrestricted accessLog-rank testMultiple survival curvesNumber of groupsSurvival analysis751696 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal article2019-02-28http://creativecommons.org/licenses/by/4.0/restrictedAccesshttp://purl.org/coar/access_right/c_f1cfapplication/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/b373adce-66cb-444e-8b23-b8855b390d35/download
spellingShingle A method for determining groups in multiple survival curves
Villanueva, Nora
Log-rank test
Multiple survival curves
Number of groups
Survival analysis
status SINGLETON
subject.fl_str_mv Log-rank test
Multiple survival curves
Number of groups
Survival analysis
title A method for determining groups in multiple survival curves
title_full A method for determining groups in multiple survival curves
title_fullStr A method for determining groups in multiple survival curves
title_full_unstemmed A method for determining groups in multiple survival curves
title_short A method for determining groups in multiple survival curves
title_sort A method for determining groups in multiple survival curves
topic Log-rank test
Multiple survival curves
Number of groups
Survival analysis
topic_facet Log-rank test
Multiple survival curves
Number of groups
Survival analysis
url https://hdl.handle.net/1822/69558
visible 1