A New Class of Cure Rate Survival Models: Properties, Inference and Applications

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade de São Paulo (USP)
dc.date.accessioned2021-06-25T12:17:23Z
dc.date.accessioned2022-12-19T22:52:33Z
dc.date.available2021-06-25T12:17:23Z
dc.date.available2022-12-19T22:52:33Z
dc.date.created2021-06-25T12:17:23Z
dc.date.issued2021-01-01
dc.identifierAdvances In Data Science And Adaptive Analysis. Singapore: World Scientific Publ Co Pte Ltd, v. 13, n. 01, 15 p., 2021.
dc.identifier2424-922X
dc.identifierhttp://hdl.handle.net/11449/209417
dc.identifier10.1142/S2424922X21500017
dc.identifierWOS:000656889900001
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5390015
dc.description.abstractWe propose a new class of survival models for time-to-event data with a cure fraction. This new model is an extension of the promotion time cure rate model. Furthermore, we extend the model to the regression model to evaluate the effect of covariates in the cure fraction. An expectation-maximization algorithm is adopted for estimating the model parameters. A simulation study is conducted in order to assess the proposed model and the computation algorithm. The methodology is illustrated using a real Brazilian bank personal loan portfolio data set.
dc.languageeng
dc.publisherWorld Scientific Publ Co Pte Ltd
dc.relationAdvances In Data Science And Adaptive Analysis
dc.sourceWeb of Science
dc.subjectCured fraction
dc.subjectcure rate models
dc.subjectlikelihood function
dc.subjectscoring credit
dc.subjectsurvival models
dc.titleA New Class of Cure Rate Survival Models: Properties, Inference and Applications
dc.typeArtículos de revistas


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