Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/45378

TitlecondSURV: An R package for the estimation of the conditional survival function for ordered multivariate failure time data
Author(s)Machado, Luís Meira
Sestelo, Marta
KeywordsSurvival
Kaplan-Meier
Issue dateDec-2016
PublisherR Foundation Statistical Computing
JournalR Journal
Abstract(s)One major goal in clinical applications of time-to-event data is the estimation of survival with censored data. The usual nonparametric estimator of the survival function is the time-honored Kaplan-Meier product-limit estimator. Though this estimator has been implemented in several R packages, the development of the condSURV R package has been motivated by recent contributions that allow the estimation of the survival function for ordered multivariate failure time data. The condSURV package provides three different approaches all based on the Kaplan-Meier estimator. In one of these approaches these quantities are estimated conditionally on current or past covariate measures. Illustration of the software usage is included using real data.
TypeArticle
URIhttp://hdl.handle.net/1822/45378
ISSN2073-4859
e-ISSN2073-4859
Publisher versionhttps://journal.r-project.org/archive/2016-2/
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals

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