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Tree based weighted learning for estimating individualized treatment rules with censored data

Estimating individualized treatment rules is a central task for personalized medicine. [23] and [22] proposed outcome weighted learning to estimate individualized treatment rules directly through maximizing the expected outcome without modeling the response directly. In this paper, we extend the out...

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Bibliografische gegevens
Gepubliceerd in:Electron J Stat
Hoofdauteurs: Cui, Yifan, Zhu, Ruoqing, Kosorok, Michael
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2017
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5796682/
https://ncbi.nlm.nih.gov/pubmed/29403568
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/17-EJS1305
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