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dc.contributor.authorAzarang, L.
dc.contributor.authorOviedo de la Fuente, M.
dc.date.accessioned2020-03-02T18:55:44Z
dc.date.available2020-03-02T18:55:44Z
dc.date.issued2018-12-01
dc.identifier.issn2073-4859
dc.identifier.urihttp://hdl.handle.net/20.500.11824/1089
dc.description.abstractThe progressive illness-death model is frequently used in medical applications. For example, the model may be used to describe the disease process in cancer studies. We have developed a new R package called idmTPreg to estimate regression coefficients in datasets that can be described by the progressive illness-death model. The motivation for the development of the package is a recent contribution that enables the estimation of possibly time-varying covariate effects on the transition probabilities for a progressive illness-death data. The main feature of the package is that it befits both non-Markov and Markov progressive illness-death data. The package implements the introduced estimators obtained using a direct binomial regression approach. Also, variance estimates and confidence bands are implemented in the package. This article presents guidelines for the use of the package.en_US
dc.description.sponsorshipBERC 2014-2017 SEV-2013-0323 MTM2016-76969-P FP7/2011: Marie Curie Initial Training Network MEDIASRESen_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.titleidmTPreg: Regression Model for Progressive Illness Death Dataen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.relation.publisherversionhttps://journal.r-project.org/archive/2018/RJ-2018-081/RJ-2018-081.pdfen_US
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionen_US
dc.journal.titleThe R Journalen_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España