Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes
事件时间结局下最优个体化决策规则的变换不变学习
In many important applications of precision medicine, the outcome of interest is time to an event (e.g., death, relapse of disease) and the primary goal is to identify the optimal individualized decision rule (IDR) to prolong survival time. Existing work in this area have been mostly focused on estimating the optimal IDR to maximize the restricted mean survival time in the population. We propose a new robust framework for estimating an optimal static or dynamic IDR with…