Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru

Knowledge of prognostic factors is an important task for the clinical management of Non Hodgkin Lymphoma (NHL). In this work, we study the variables affecting survival of NHL in Peru by means of geoadditive Cox-type structured hazard regression models while accounting for potential spatial correlati...

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Autores: Flores, Carlos, Rodríguez-Girondo, Mar, Cadarso-Suárez, Carmen, Kneib, Thomas, Gómez Melis, Guadalupe|||0000-0003-4252-4884, Casanova, Luís
Tipo de recurso: artículo
Fecha de publicación:2012
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:2099/13325
Acceso en línea:https://hdl.handle.net/2099/13325
Access Level:acceso abierto
Palabra clave:Mathematical statistics
Non-Hodgkin lymphoma
structured regression models
survival analysis
Estadística matemàtica--Aplicacions
Classificació AMS::62 Statistics::62P Applications
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
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spelling Flexible geoadditive survival analysis of non-Hodgkin lymphoma in PeruFlores, CarlosRodríguez-Girondo, MarCadarso-Suárez, CarmenKneib, ThomasGómez Melis, Guadalupe|||0000-0003-4252-4884Casanova, LuísMathematical statisticsNon-Hodgkin lymphomastructured regression modelssurvival analysisEstadística matemàtica--AplicacionsClassificació AMS::62 Statistics::62P ApplicationsClassificació AMS::62 Statistics::62N Survival analysis and censored dataÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàticaKnowledge of prognostic factors is an important task for the clinical management of Non Hodgkin Lymphoma (NHL). In this work, we study the variables affecting survival of NHL in Peru by means of geoadditive Cox-type structured hazard regression models while accounting for potential spatial correlations in the survival times. We identified eight covariates with significant effect for overall survival. Some of them are widely known such as age, performance status, clinical stage and lactic dehydrogenase, but we also identified hemoglobin, leukocytes and lymphocytes as covariates with a significant effect on the overall survival of patients with NHL. Besides, the effect of continuous covariates is clearly nonlinear and hence impossible to detect with the classical Cox method. Although the spatial component does not show a significant effect, the results show a trend of low risk in certain areasPeer ReviewedInstitut d'Estadística de Catalunya20122012-01-0120132013-05-21journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2099/13325reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2099/133252026-05-27T15:37:01Z
dc.title.none.fl_str_mv Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru
title Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru
spellingShingle Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru
Flores, Carlos
Mathematical statistics
Non-Hodgkin lymphoma
structured regression models
survival analysis
Estadística matemàtica--Aplicacions
Classificació AMS::62 Statistics::62P Applications
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
title_short Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru
title_full Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru
title_fullStr Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru
title_full_unstemmed Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru
title_sort Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru
dc.creator.none.fl_str_mv Flores, Carlos
Rodríguez-Girondo, Mar
Cadarso-Suárez, Carmen
Kneib, Thomas
Gómez Melis, Guadalupe|||0000-0003-4252-4884
Casanova, Luís
author Flores, Carlos
author_facet Flores, Carlos
Rodríguez-Girondo, Mar
Cadarso-Suárez, Carmen
Kneib, Thomas
Gómez Melis, Guadalupe|||0000-0003-4252-4884
Casanova, Luís
author_role author
author2 Rodríguez-Girondo, Mar
Cadarso-Suárez, Carmen
Kneib, Thomas
Gómez Melis, Guadalupe|||0000-0003-4252-4884
Casanova, Luís
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Mathematical statistics
Non-Hodgkin lymphoma
structured regression models
survival analysis
Estadística matemàtica--Aplicacions
Classificació AMS::62 Statistics::62P Applications
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
topic Mathematical statistics
Non-Hodgkin lymphoma
structured regression models
survival analysis
Estadística matemàtica--Aplicacions
Classificació AMS::62 Statistics::62P Applications
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
description Knowledge of prognostic factors is an important task for the clinical management of Non Hodgkin Lymphoma (NHL). In this work, we study the variables affecting survival of NHL in Peru by means of geoadditive Cox-type structured hazard regression models while accounting for potential spatial correlations in the survival times. We identified eight covariates with significant effect for overall survival. Some of them are widely known such as age, performance status, clinical stage and lactic dehydrogenase, but we also identified hemoglobin, leukocytes and lymphocytes as covariates with a significant effect on the overall survival of patients with NHL. Besides, the effect of continuous covariates is clearly nonlinear and hence impossible to detect with the classical Cox method. Although the spatial component does not show a significant effect, the results show a trend of low risk in certain areas
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-01-01
2013
2013-05-21
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/2099/13325
url https://hdl.handle.net/2099/13325
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 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/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 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/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
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score 15,301603

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