Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru
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Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2099/13325
Tipus de documentArticle
Data publicació2012
EditorInstitut d'Estadística de Catalunya
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
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
CitacióFlores, Carlos [et al.]. Flexible geoadditive survival analysis of non-Hodgkin lymphoma in Peru. "SORT", vol. 36, núm. 2, p. 221-230.
ISSN1696-2281
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36.2.6.rodriguez-etal.pdf | 2,803Mb | Visualitza/Obre |