most citedEfficient augmentation and relaxation learning for individualized treatment rules using observational data

78 citations · 78 across the 1 of their papers we have counts for

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1 paper

stat.ME2019★ 78 cited

Efficient augmentation and relaxation learning for individualized treatment rules using observational data

Ying-Qi Zhao, Eric B. Laber, Yang Ning +2

Individualized treatment rules aim to identify if, when, which, and to whom treatment should be applied. A globally aging population, rising healthcare costs, and increased access…