Concordance-Assisted Learning for Estimating Optimal Individualized Treatment Regimes
用于估计最优个体化治疗规则的一致性辅助学习
Summary We propose new concordance-assisted learning for estimating optimal individualized treatment regimes. We first introduce a type of concordance function for prescribing treatment and propose a robust rank regression method for estimating the concordance function. We then find treatment regimes, up to a threshold, to maximize the concordance function, named the prescriptive index. Finally, within the class of treatment regimes that maximize the concordance function, we…