论文标题
使用辅助边缘的复杂调查中不可响应的多重插入额的插入额
Multiple Imputation for Nonignorable Item Nonresponse in Complex Surveys Using Auxiliary Margin
论文作者
论文摘要
当已知一些缺少值的变量的边际分布时，我们概述了不符合项的多重插入框架的框架。特别是，我们的框架可确保（i）完成的数据集会导致基于设计的总计估计值，这些估计值是合理的，并且（ii）（ii）完整的数据集维护跨变量跨变量的关联。为此，我们为无响应提出了一个添加性不符合模型，并加上拒绝采样步骤。拒绝采样步骤有利于完成的数据集，这些数据集导致鉴于已知边缘的基于设计的估计值。我们使用具有分层采样的模拟说明了框架。
We outline a framework for multiple imputation of nonignorable item nonresponse when the marginal distributions of some of the variables with missing values are known. In particular, our framework ensures that (i) the completed datasets result in design-based estimates of totals that are plausible, given the margins, and (ii) the completed datasets maintain associations across variables as posited in the imputation models. To do so, we propose an additive nonignorable model for nonresponse, coupled with a rejection sampling step. The rejection sampling step favors completed datasets that result in design-based estimates that are plausible given the known margins. We illustrate the framework using simulations with stratified sampling.
