Non-parametric individual treatment effect estimation for survival data with random forests
Abstract Motivation Personalized medicine often relies on accurate estimation of a treatment effect for specific subjects. This estimation can be based on the subject’s baseline covariates but additional complications arise for a time-to-event response subject to censoring. In this paper, the treatm...
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Published in | Bioinformatics Vol. 36; no. 2; pp. 629 - 636 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
15.01.2020
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Online Access | Get full text |
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