Aspects of the analysis of multivariative failure time data

Multivariate failure time data arise in various forms including recurrent event data when individuals are followed to observe the sequence of occurrences of a certain type of event; correlated failure time when an individual is followed for the occurrence of two or more types of events for which the...

Descripción completa

Detalles Bibliográficos
Autores: Prentice, Ross L., Kalbfleisch, J. D.
Tipo de recurso: artículo
Fecha de publicación:2003
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:2099/3731
Acceso en línea:https://hdl.handle.net/2099/3731
Access Level:acceso abierto
Palabra clave:Multivariate analysis
Survival Analysis
Mathematical Bioscience Institute
Anàlisi multivariable
Estadística
Biologia -- Matemàtica
Classificació AMS::62 Statistics::62H Multivariate analysis
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Classificació AMS::92 Biology and other natural sciences::92B Mathematical biology in general
id ES_e76f209fc40bece0fe9bfeb5403ff97b
oai_identifier_str oai:upcommons.upc.edu:2099/3731
network_acronym_str ES
network_name_str España
repository_id_str
spelling Aspects of the analysis of multivariative failure time dataPrentice, Ross L.Kalbfleisch, J. D.Multivariate analysisSurvival AnalysisMathematical Bioscience InstituteAnàlisi multivariableEstadísticaBiologia -- MatemàticaClassificació AMS::62 Statistics::62H Multivariate analysisClassificació AMS::62 Statistics::62N Survival analysis and censored dataClassificació AMS::92 Biology and other natural sciences::92B Mathematical biology in generalMultivariate failure time data arise in various forms including recurrent event data when individuals are followed to observe the sequence of occurrences of a certain type of event; correlated failure time when an individual is followed for the occurrence of two or more types of events for which the individual is simultaneously at risk, or when distinct individuals have dependent event times; or more complicated multistate processes when individuals may move among a number of discrete states over the course of a follow-up study and the states and associated sojourn times are recorded. Here we provide a critical review of statistical models and data analysis methods for the analysis of recurrent event data and correlated failure time data. This review suggests a valuable role for partially marginalized intensity models for the analysis of recurrent event data, and points to the usefulness of marginal hazard rate models and nonparametric estimates of pairwise dependencies for the analysis of correlated failure times. Areas in need of further methodology development are indicated.Peer ReviewedInstitut d'Estadística de Catalunya20032003-01-0120072007-11-12journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2099/3731reponame: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:2099/37312026-05-27T15:37:01Z
dc.title.none.fl_str_mv Aspects of the analysis of multivariative failure time data
title Aspects of the analysis of multivariative failure time data
spellingShingle Aspects of the analysis of multivariative failure time data
Prentice, Ross L.
Multivariate analysis
Survival Analysis
Mathematical Bioscience Institute
Anàlisi multivariable
Estadística
Biologia -- Matemàtica
Classificació AMS::62 Statistics::62H Multivariate analysis
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Classificació AMS::92 Biology and other natural sciences::92B Mathematical biology in general
title_short Aspects of the analysis of multivariative failure time data
title_full Aspects of the analysis of multivariative failure time data
title_fullStr Aspects of the analysis of multivariative failure time data
title_full_unstemmed Aspects of the analysis of multivariative failure time data
title_sort Aspects of the analysis of multivariative failure time data
dc.creator.none.fl_str_mv Prentice, Ross L.
Kalbfleisch, J. D.
author Prentice, Ross L.
author_facet Prentice, Ross L.
Kalbfleisch, J. D.
author_role author
author2 Kalbfleisch, J. D.
author2_role author
dc.subject.none.fl_str_mv Multivariate analysis
Survival Analysis
Mathematical Bioscience Institute
Anàlisi multivariable
Estadística
Biologia -- Matemàtica
Classificació AMS::62 Statistics::62H Multivariate analysis
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Classificació AMS::92 Biology and other natural sciences::92B Mathematical biology in general
topic Multivariate analysis
Survival Analysis
Mathematical Bioscience Institute
Anàlisi multivariable
Estadística
Biologia -- Matemàtica
Classificació AMS::62 Statistics::62H Multivariate analysis
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Classificació AMS::92 Biology and other natural sciences::92B Mathematical biology in general
description Multivariate failure time data arise in various forms including recurrent event data when individuals are followed to observe the sequence of occurrences of a certain type of event; correlated failure time when an individual is followed for the occurrence of two or more types of events for which the individual is simultaneously at risk, or when distinct individuals have dependent event times; or more complicated multistate processes when individuals may move among a number of discrete states over the course of a follow-up study and the states and associated sojourn times are recorded. Here we provide a critical review of statistical models and data analysis methods for the analysis of recurrent event data and correlated failure time data. This review suggests a valuable role for partially marginalized intensity models for the analysis of recurrent event data, and points to the usefulness of marginal hazard rate models and nonparametric estimates of pairwise dependencies for the analysis of correlated failure times. Areas in need of further methodology development are indicated.
publishDate 2003
dc.date.none.fl_str_mv 2003
2003-01-01
2007
2007-11-12
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2099/3731
url https://hdl.handle.net/2099/3731
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.publisher.none.fl_str_mv Institut d'Estadística de Catalunya
publisher.none.fl_str_mv Institut d'Estadística de Catalunya
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
_version_ 1869422854775242752
score 15,300719

Similares en LA Referencia