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dc.contributor.authorSerrat Piè, Carles
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtica Aplicada I
dc.date.accessioned2014-04-03T14:50:15Z
dc.date.available2014-04-03T14:50:15Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationSerrat, C. Longitudinal + reliability = joint modeling. A: International Workshop on Simulation-Optimization for Logistics & Production. "2013 CYTED-HAROSA International Workshop on Simulation-Optimization for Logistics & Production November 21-22, 2013 - UOC-Tibidabo, Barcelona : Sessions, Titles & Abstracts". Barcelona: 2013, p. 1-33.
dc.identifier.urihttp://hdl.handle.net/2117/22505
dc.description.abstractThe aim of this presentation is to introduce joint modelling techniques for the simultaneous analysis of longitudinal time-varying data and time-to-event data. This is an increasing area of interest for the analysis of complex systems. Among others, three main advantages of this approach are: a) it corrects the bias derived from a traditional separate analysis, b) the modelization allows to incorporate and model the between and within correlation among observations and, c) true longitudinal profiles for endogenous covariates can be included in the relative hazard survival sub-model. The relevant benefit of these models is being able to estimate the effect of each subject-specific longitudinal profile in the hazard function for the event of interest, in an adaptive manner. In particular, subject-specific dynamic predictions, like conditional survival functions given the available longitudinal information, can be derived. In order to implement joint models, existing open source libraries in R will be introduced and some illustrations will be given.
dc.format.extent33 p.
dc.language.isoeng
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::Anàlisi numèrica::Modelització matemàtica
dc.subject.lcshModels and model making
dc.titleLongitudinal + reliability = joint modeling
dc.typeConference lecture
dc.subject.lemacModelisme
dc.contributor.groupUniversitat Politècnica de Catalunya. GREMA - Grup de Recerca en Estadística Matemàtica i les seves Aplicacions
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://dpcs.uoc.edu/joomla/index.php/2013-cyted-harosa/2013-cyted-titles
dc.rights.accessOpen Access
local.identifier.drac13752581
dc.description.versionPostprint (published version)
local.citation.authorSerrat, C.
local.citation.contributorInternational Workshop on Simulation-Optimization for Logistics & Production
local.citation.pubplaceBarcelona
local.citation.publicationName2013 CYTED-HAROSA International Workshop on Simulation-Optimization for Logistics & Production November 21-22, 2013 - UOC-Tibidabo, Barcelona : Sessions, Titles & Abstracts
local.citation.startingPage1
local.citation.endingPage33


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain