A model-free variable screening method for optimal treatment regimes with high-dimensional survival data
高维生存数据最优治疗策略的无模型变量筛选
Summary We propose a model-free variable screening method for the optimal treatment regime with high-dimensional survival data. The proposed screening method provides a unified framework to select the active variables in a prespecified target population, including the treated group as a special case. Based on this framework, the optimal treatment regime is exactly the optimal classifier that minimizes a weighted misclassification error rate, with weights associated with…