Random survival forests

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dc.creatorIshwaran, Hemant
dc.creatorKogalur, Udaya B.
dc.creatorBlackstone, Eugene H.
dc.creatorLauer, Michael S.
dc.date2008-11-11
dc.date.accessioned2026-07-07T10:17:25Z
dc.date.available2026-07-07T10:17:25Z
dc.descriptionWe introduce random survival forests, a random forests method for the analysis of right-censored survival data. New survival splitting rules for growing survival trees are introduced, as is a new missing data algorithm for imputing missing data. A conservation-of-events principle for survival forests is introduced and used to define ensemble mortality, a simple interpretable measure of mortality that can be used as a predicted outcome. Several illustrative examples are given, including a case study of the prognostic implications of body mass for individuals with coronary artery disease. Computations for all examples were implemented using the freely available R-software package, randomSurvivalForest.
dc.descriptionPublished in at http://dx.doi.org/10.1214/08-AOAS169 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0811.1645
dc.identifierhttp://arxiv.org/abs/0811.1645
dc.identifierAnnals of Applied Statistics 2008, Vol. 2, No. 3, 841-860
dc.identifierdoi:10.1214/08-AOAS169
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/173848
dc.subjectApplications
dc.titleRandom survival forests
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