Targeted learning ensembles for optimal individualized treatment rules with time-to-event outcomes
事件时间结局下最优个体化治疗规则的目标学习集成
We consider estimation of an optimal individualized treatment rule when a high-dimensional vector of baseline variables is available. Our optimality criterion is with respect to delaying the expected time to occurrence of an event of interest. We use semiparametric efficiency theory to construct estimators with properties such as double robustness. We propose two estimators of the optimal rule, which arise from considering two loss functions aimed at directly estimating the…