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Greedy Outcome Weighted Tree Learning of Optimal Personalized Treatment Rules
We propose a subgroup identification approach for inferring optimal and interpretable personalized treatment rules with high-dimensional covariates. Our approach is based on a two-step greedy tree algorithm to pursue signals in a high-dimensional space. In the first step, we transform the treatment...
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| Pubblicato in: | Biometrics |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5378692/ https://ncbi.nlm.nih.gov/pubmed/27704531 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12593 |
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