The role of survival functions in competing risks

Competing risks data usually arises in studies in which the failure of an individual may be classified into one of k (k > 1) mutually exclusive causes of failure. When competing risks are present, there are two main differences with classical survival analysis: (i) survival functions are not main...

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Detalles Bibliográficos
Autores: Porta Bleda, Núria, Gómez Melis, Guadalupe|||0000-0003-4252-4884, Calle Rosingana, M. Luz
Tipo de recurso: informe técnico
Fecha de publicación:2008
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/2202
Acceso en línea:https://hdl.handle.net/2117/2202
Access Level:acceso abierto
Palabra clave:Survival analysis (Biometry)
Cause-specific hazard
Cumulative incidence function
Survival-like function
Anàlisi de supervivència (Estadística)
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Àrees temàtiques de la UPC::Matemàtiques i estadística
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spelling The role of survival functions in competing risksPorta Bleda, NúriaGómez Melis, Guadalupe|||0000-0003-4252-4884Calle Rosingana, M. LuzSurvival analysis (Biometry)Cause-specific hazardCumulative incidence functionSurvival-like functionAnàlisi de supervivència (Estadística)Classificació AMS::62 Statistics::62N Survival analysis and censored dataÀrees temàtiques de la UPC::Matemàtiques i estadísticaCompeting risks data usually arises in studies in which the failure of an individual may be classified into one of k (k > 1) mutually exclusive causes of failure. When competing risks are present, there are two main differences with classical survival analysis: (i) survival functions are not mainly used to describe cause-specific failures and, (ii) classical estimation techniques may provide biased results. The main goal of this paper is to review, clarify and present the formulation of a competing risks model and the basic nonparametric estimation methods. We show why the use of survival functions in the competing risks framework may mislead the user, and we illustrate the presented methodologies by developing two examples from real data. The methods presented here can be implemented with several statistical packages, including R, SPSS and SAS: we give some highlights on how to perform a competing risks analysis with these software packages.20082008-05-2820082008-08-01reporthttp://purl.org/coar/resource_type/c_93fcNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/reportapplication/pdfhttps://hdl.handle.net/2117/2202reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 2.5 Spainhttp://creativecommons.org/licenses/by-nc-nd/2.5/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/22022026-05-27T15:37:01Z
dc.title.none.fl_str_mv The role of survival functions in competing risks
title The role of survival functions in competing risks
spellingShingle The role of survival functions in competing risks
Porta Bleda, Núria
Survival analysis (Biometry)
Cause-specific hazard
Cumulative incidence function
Survival-like function
Anàlisi de supervivència (Estadística)
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Àrees temàtiques de la UPC::Matemàtiques i estadística
title_short The role of survival functions in competing risks
title_full The role of survival functions in competing risks
title_fullStr The role of survival functions in competing risks
title_full_unstemmed The role of survival functions in competing risks
title_sort The role of survival functions in competing risks
dc.creator.none.fl_str_mv Porta Bleda, Núria
Gómez Melis, Guadalupe|||0000-0003-4252-4884
Calle Rosingana, M. Luz
author Porta Bleda, Núria
author_facet Porta Bleda, Núria
Gómez Melis, Guadalupe|||0000-0003-4252-4884
Calle Rosingana, M. Luz
author_role author
author2 Gómez Melis, Guadalupe|||0000-0003-4252-4884
Calle Rosingana, M. Luz
author2_role author
author
dc.subject.none.fl_str_mv Survival analysis (Biometry)
Cause-specific hazard
Cumulative incidence function
Survival-like function
Anàlisi de supervivència (Estadística)
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Àrees temàtiques de la UPC::Matemàtiques i estadística
topic Survival analysis (Biometry)
Cause-specific hazard
Cumulative incidence function
Survival-like function
Anàlisi de supervivència (Estadística)
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Àrees temàtiques de la UPC::Matemàtiques i estadística
description Competing risks data usually arises in studies in which the failure of an individual may be classified into one of k (k > 1) mutually exclusive causes of failure. When competing risks are present, there are two main differences with classical survival analysis: (i) survival functions are not mainly used to describe cause-specific failures and, (ii) classical estimation techniques may provide biased results. The main goal of this paper is to review, clarify and present the formulation of a competing risks model and the basic nonparametric estimation methods. We show why the use of survival functions in the competing risks framework may mislead the user, and we illustrate the presented methodologies by developing two examples from real data. The methods presented here can be implemented with several statistical packages, including R, SPSS and SAS: we give some highlights on how to perform a competing risks analysis with these software packages.
publishDate 2008
dc.date.none.fl_str_mv 2008
2008-05-28
2008
2008-08-01
dc.type.none.fl_str_mv report
http://purl.org/coar/resource_type/c_93fc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/report
format report
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/2202
url https://hdl.handle.net/2117/2202
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 2.5 Spain
http://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 2.5 Spain
http://creativecommons.org/licenses/by-nc-nd/2.5/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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