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W3099478002 abstract "We 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." @default.
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W3099478002 date "2008-09-01" @default.
W3099478002 modified "2023-10-14" @default.
W3099478002 title "Random survival forests" @default.
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W3099478002 doi "https://doi.org/10.1214/08-aoas169" @default.
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