论文标题
模式图：非单身酮缺失数据的图形方法
Pattern graphs: a graphical approach to nonmonotone missing data
论文作者
论文摘要
我们介绍了模式图的概念 - 指导的无环图，表示响应模式如何关联。模式图代表非参数识别/饱和的识别限制，通常是在随机限制下丢失的限制。我们使用图案图引入了选择模型和模式混合模型公式，并表明它们是等效的。模式图导致概率加权估计器以及基于插补的估计器。我们还研究了半参数效率理论，并使用模式图得出了多重射击估计器。
We introduce the concept of pattern graphs--directed acyclic graphs representing how response patterns are associated. A pattern graph represents an identifying restriction that is nonparametrically identified/saturated and is often a missing not at random restriction. We introduce a selection model and a pattern mixture model formulations using the pattern graphs and show that they are equivalent. A pattern graph leads to an inverse probability weighting estimator as well as an imputation-based estimator. We also study the semi-parametric efficiency theory and derive a multiply-robust estimator using pattern graphs.
