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Tutorial on methods for interval-censored data and their implementation in R

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dc.contributor Universitat de Vic. Facultat d'Empresa i Comunicació
dc.contributor Universitat de Vic. Escola Politècnica Superior
dc.contributor Universitat de Vic. Grup de Recerca en Bioinformàtica i Estadística Mèdica
dc.contributor.author Gómez, Guadalupe
dc.contributor.author Calle, M. Luz
dc.contributor.author Oller, Ramon
dc.contributor.author Langohr, Klaus
dc.date.accessioned 2014-04-08T10:58:03Z
dc.date.available 2014-04-08T10:58:03Z
dc.date.created 2009
dc.date.issued 2009
dc.identifier.citation "Gomez, G., Calle Rosingana, M. L., Oller Piquer, R., & Langohr, K. (2009). Tutorial on methods for interval-censored data and their implementation in R./Statistical Modelling, //9/(4), 259-297." ca_ES
dc.identifier.issn 1471-082x
dc.identifier.uri http://hdl.handle.net/10854/2862
dc.description.abstract Interval censoring is encountered in many practical situations when the event of interest cannot be observed and it is only known to have occurred within a time window. The theory for the analysis of interval-censored data has been developed over the past three decades and several reviews have been written. However, it is still a common practice in medical and reliability studies to simplify the interval censoring structure of the data into a more standard right censoring situation by, for instance, imputing the midpoint of the censoring interval. The availability of software for right censoring might well be the main reason for this simplifying practice. In contrast, several methods have been developed to deal with interval-censored data and the corresponding algorithms to make the procedures feasible are scattered across the statistical software or remain behind the personal computers of many researchers. The purpose of this tutorial is to present, in a pedagogical and unified manner, the methodology and the available software for analyzing interval-censored data. The paper covers frequentist non-parametric, parametric and semiparametric estimating approaches, non-parametric tests for comparing survival curves and a section on simulation of interval-censored data. The methods and the software are described using the data from a dental study. ca_ES
dc.format application/pdf
dc.format.extent 40 p. ca_ES
dc.language.iso eng ca_ES
dc.publisher Sage ca_ES
dc.rights (c) Sage
dc.rights Tots els drets reservats ca_ES
dc.subject.other Anàlisi de supervivència (Estadística) ca_ES
dc.title Tutorial on methods for interval-censored data and their implementation in R ca_ES
dc.type info:eu-repo/semantics/article ca_ES
dc.identifier.doi https://doi.org/10.1177/1471082X0900900402
dc.relation.publisherversion http://smj.sagepub.com/content/9/4/259.abstract
dc.rights.accessRights info:eu-repo/semantics/closedAccess ca_ES
dc.type.version info:eu-repo/publishedVersion ca_ES
dc.indexacio Indexat a WOS/JCR ca_ES

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