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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Biometrics
Egile Nagusiak: Zhu, Ruoqing, Zhao, Ying-Qi, Chen, Guanhua, Ma, Shuangge, Zhao, Hongyu
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2016
Gaiak:
Sarrera elektronikoa: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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