论文标题
治疗控制研究的因果推断，其具有未知分配机制的其他因素
Causal inference from treatment-control studies having an additional factor with unknown assignment mechanism
论文作者
论文摘要
考虑一种有两种治疗方法的情况，第一种治疗是随机的，但第二种不是，而第二种是多因素版本。兴趣是对治疗效果的兴趣，使用标准析因符号定义。我们定义了治疗效果的估计量，并在没有有关非随机治疗分配的信息以及没有有关非随机治疗分配的信息时探索其特性。我们展示了隐藏的处理何时以及如何偏向估计器并膨胀其抽样差异。
Consider a situation with two treatments, the first of which is randomized but the second is not, and the multifactor version of this. Interest is in treatment effects, defined using standard factorial notation. We define estimators for the treatment effects and explore their properties when there is information about the nonrandomized treatment assignment and when there is no information on the assignment of the nonrandomized treatment. We show when and how hidden treatments can bias estimators and inflate their sampling variances.
