论文标题
在二元仪器变量模型下的局部治疗效果的估计
Estimation of local treatment effects under the binary instrumental variable model
论文作者
论文摘要
仪器变量被广泛用于处理观察性研究和不完美的随机对照试验中未衡量的混杂。在这些研究中，研究人员经常以在轻度条件下可识别的所谓局部平均治疗效果为目标。在本文中，我们考虑了二元仪器变量模型下局部平均治疗效果的估计。我们通过二进制结果讨论因果估计的挑战，并表明令人惊讶的是，与持续的结果相比，这可能比情况更加困难。我们提出了新颖的建模和估计程序，从模型，可解释性，鲁棒性或效率方面改善现有建议。通过仿真研究和实际数据分析来说明我们的方法。
Instrumental variables are widely used to deal with unmeasured confounding in observational studies and imperfect randomized controlled trials. In these studies, researchers often target the so-called local average treatment effect as it is identifiable under mild conditions. In this paper, we consider estimation of the local average treatment effect under the binary instrumental variable model. We discuss the challenges for causal estimation with a binary outcome, and show that surprisingly, it can be more difficult than the case with a continuous outcome. We propose novel modeling and estimating procedures that improve upon existing proposals in terms of model congeniality, interpretability, robustness or efficiency. Our approach is illustrated via simulation studies and a real data analysis.
