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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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| Vydáno v: | Electron J Stat |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2017
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| Témata: | |
| On-line přístup: | 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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