论文标题
用未衡量的混杂选择和排名个性化的治疗规则
Selecting and ranking individualized treatment rules with unmeasured confounding
论文作者
论文摘要
通常，根据价值函数比较个性化的治疗规则，这是治疗规则下的预期潜在结果。尽管当没有衡量混淆时，未确定价值函数，但在Rosenbaum的敏感性分析模型下，它仍然定义了治疗规则之间的部分顺序。我们首先考虑如何将两个治疗规则与单个决策环境中的混杂混淆进行比较，然后使用此成对测试来对多个治疗规则进行排名。我们考虑如何在许多治疗规则中选择最佳规则，并选择比控制规则更好的规则。提出的方法使用两个真实示例进行了说明，一个关于预防疟疾计划对不同年龄段的益处的好处，另一种是关于晚期退休对不同性别和职业组中高级健康的影响。
It is common to compare individualized treatment rules based on the value function, which is the expected potential outcome under the treatment rule. Although the value function is not point-identified when there is unmeasured confounding, it still defines a partial order among the treatment rules under Rosenbaum's sensitivity analysis model. We first consider how to compare two treatment rules with unmeasured confounding in the single-decision setting and then use this pairwise test to rank multiple treatment rules. We consider how to, among many treatment rules, select the best rules and select the rules that are better than a control rule. The proposed methods are illustrated using two real examples, one about the benefit of malaria prevention programs to different age groups and another about the effect of late retirement on senior health in different gender and occupation groups.
