Multiple imputation for nonignorable nonresponse in complex surveys using auxiliary margins
Multiple imputation for nonignorable nonresponse in complex surveys using auxiliary margins
复制标题
使用辅助边际对复杂调查中不可忽略的无答复进行多重插补
DOI：
10.1007/978-3-030-75460-0_16
复制
发表时间：
2022
期刊：
影响因子：
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通讯作者：
Reiter, J. P.
中科院分区：
文献类型：
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作者：
Akande, O.;Reiter, J. P.
我们概述了一个框架，当一些变量的边际分布与缺失值是已知的多重插补noncrossable项目无应答。特别是，我们的框架确保：（i）完整的数据集导致基于设计的总量估计，考虑到利润率，以及（ii）完整的数据集保持插补模型中假设的变量之间的关联。要做到这一点，我们提出了一个添加剂non-response模型，再加上拒绝抽样步骤。拒绝抽样步骤有利于完整的数据集，这些数据集产生基于设计的估计，在已知裕度的情况下，这些估计是合理的。我们用分层抽样的模拟来说明这个框架。
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.