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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Bibliographic Details
Published inBioinformatics Vol. 36; no. 2; pp. 629 - 636
Main Authors Tabib, Sami, Larocque, Denis
Format Journal Article
LanguageEnglish
Published England Oxford University Press 15.01.2020
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