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dc.contributor.authorOrtega, Edwin M. M.
dc.contributor.authorCancho, Vicente G.
dc.contributor.authorLachos, Victor Hugo
dc.date.accessioned2010-04-26T15:33:58Z
dc.date.available2010-04-26T15:33:58Z
dc.date.issued2008
dc.identifier.citationOrtega, Edwin M. M.; Cancho, Vicente G.; Lachos, Victor Hugo. Assessing influence in survival data with a cure fraction and covariates. "SORT", 2008, vol. 32, núm. 2, p. 115-140.
dc.identifier.issn1696-2281
dc.identifier.urihttp://hdl.handle.net/2099/8932
dc.description.abstractDiagnostic methods have been an important tool in regression analysis to detect anomalies, such as departures from error assumptions and the presence of outliers and influential observations with the fitted models. Assuming censored data, we considered a classical analysis and Bayesian analysis assuming no informative priors for the parameters of the model with a cure fraction. A Bayesian approach was considered by using Markov Chain Monte Carlo Methods with Metropolis-Hasting algorithms steps to obtain the posterior summaries of interest. Some influence methods, such as the local influence, total local influence of an individual, local influence on predictions and generalized leverage were derived, analyzed and discussed in survival data with a cure fraction and covariates. The relevance of the approach was illustrated with a real data set, where it is shown that, by removing the most influential observations, the decision about which model best fits the data is changed.
dc.format.extent26 p.
dc.language.isoeng
dc.publisherInstitut d'Estadística de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.lcshMathematical statistics
dc.subject.lcshMultivariate analysis
dc.subject.lcshMathematical statistics ; Regression analysis
dc.subject.lcshSurvival analysis (Biometry)
dc.subject.otherCure fraction
dc.subject.otherBayesian inference
dc.subject.otherLocal influence
dc.subject.otherGeneralized leverage
dc.subject.otherSurvival data.
dc.titleAssessing influence in survival data with a cure fraction and covariates
dc.typeArticle
dc.subject.lemacEstadística matemàtica
dc.subject.lemacAnàlisi multivariable
dc.subject.lemacAnàlisi de supervivència (Biometria)
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::62 Statistics::62F Parametric inference
dc.subject.amsClassificació AMS::62 Statistics::62H Multivariate analysis
dc.subject.amsClassificació AMS::62 Statistics::62J Linear inference, regression
dc.subject.amsClassificació AMS::62 Statistics::62N Survival analysis and censored data
dc.rights.accessOpen Access
local.citation.authorOrtega, Edwin M. M.; Cancho, Vicente G.; Lachos, Victor Hugo
local.citation.publicationNameSORT
local.citation.volume32
local.citation.number2
local.citation.startingPage115
local.citation.endingPage140


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