Multi-stage optimal dynamic treatment regimes for survival outcomes with dependent censoring
依赖删失下生存结局的多阶段最优动态处理策略
Summary We propose a reinforcement learning method for estimating an optimal dynamic treatment regime for survival outcomes with dependent censoring. The estimator allows the failure time to be conditionally independent of censoring and dependent on the treatment decision times, supports a flexible number of treatment arms and treatment stages, and can maximize either the mean survival time or the survival probability at a certain time-point. The estimator is constructed…