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Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru
dc.contributor.author | Flores, Carlos |
dc.contributor.author | Rodríguez-Girondo, Mar |
dc.contributor.author | Cadarso-Suárez, Carmen |
dc.contributor.author | Kneib, Thomas |
dc.contributor.author | Gómez Melis, Guadalupe |
dc.contributor.author | Casanova, Luís |
dc.date.accessioned | 2013-05-21T15:13:36Z |
dc.date.available | 2013-05-21T15:13:36Z |
dc.date.issued | 2012 |
dc.identifier.citation | Flores, Carlos [et al.]. Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru. "SORT", vol. 36, núm. 2, p. 221-230. |
dc.identifier.issn | 1696-2281 |
dc.identifier.uri | http://hdl.handle.net/2099/13325 |
dc.description.abstract | 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 |
dc.format.extent | 10 p. |
dc.language.iso | eng |
dc.publisher | Institut d'Estadística de Catalunya |
dc.relation.ispartof | SORT. 2012, vol. 36, núm. 2 |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
dc.subject.lcsh | Mathematical statistics |
dc.subject.other | Non-Hodgkin lymphoma |
dc.subject.other | structured regression models |
dc.subject.other | survival analysis |
dc.title | Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru |
dc.type | Article |
dc.subject.lemac | Estadística matemàtica--Aplicacions |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.ams | Classificació AMS::62 Statistics::62P Applications |
dc.subject.ams | Classificació AMS::62 Statistics::62N Survival analysis and censored data |
dc.rights.access | Open Access |
local.citation.author | Flores, Carlos; Rodríguez-Girondo, Mar; Cadarso-Suárez, Carmen; Kneib, Thomas; Gómez Melis, Guadalupe; Casanova, Luís |
local.citation.publicationName | SORT |
local.citation.volume | 36 |
local.citation.number | 2 |
local.citation.startingPage | 221 |
local.citation.endingPage | 230 |