Estimating the optimal individualized treatment rule from a cost-effectiveness perspective.

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第一作者： Yizhe,Xu

第一单位： Department of Population Health Sciences, University of Utah, Salt Lake City, Utah.

作者： Yizhe,Xu ^[1] ; Tom H,Greene ^[2] ; Adam P,Bress ^[1] ; Brian C,Sauer ^[3] ; Brandon K,Bellows ^[4] ; Yue,Zhang ^[2] ; William S,Weintraub ^[5] ; Andrew E,Moran ^[4] ; Jincheng,Shen ^[2]

作者单位： Department of Population Health Sciences, University of Utah, Salt Lake City, Utah. ^[1] Department of Population Health Sciences, University of Utah, Salt Lake City, Utah.;Department of Internal Medicine, University of Utah, Salt Lake City, Utah.;Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah. ^[2] Department of Population Health Sciences, University of Utah, Salt Lake City, Utah.;Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah.;Salt Lake City Veterans Affairs Medical Center, Salt Lake City, Utah. ^[3] Department of Medicine, Columbia University Medical Center, New York, New York. ^[4] MedStar Health Research Institute, Washington, DC. ^[5]

关键词 cost-effectiveness decision-tree-based statistical learning algorithm direct optimization individual-level heterogeneity individualized treatment rules net-monetary-benefit-based reward

主题词算法(Algorithms);计算机模拟(Computer Simulation);费用效益分析(Cost-Benefit Analysis);研究设计(Research Design)

DOI 10.1111/biom.13406

PMID 33215693

发布时间 2023-03-02

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