Calibrated propensity score method for survey nonresponse in cluster sampling.
Calibrated propensity score method for survey nonresponse in cluster sampling.
复制标题
整群抽样中调查无答复的校准倾向评分方法。
DOI：
10.1093/biomet/asw004
复制
发表时间：
2016
期刊：
影响因子：
2.7
通讯作者：
M. Paik
中科院分区：
文献类型：
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作者：
Jae Kwang Kim;Yongchan Kwon;M. Paik
加权调整通常用于调查抽样，以纠正单位无应答。在整群抽样中，缺失指标往往在整群内具有相关性，响应机制受制于整群特定的不可重复缺失。基于一个参数化的工作模型的响应机制，结合集群特定的不可分割的缺失，我们提出了一种加权调整的方法。在研究变量遵循广义线性混合效应模型的情况下，我们提供了平均值或总数的一致估计。所提出的方法是强大的，在这个意义上，估计的一致性不需要正确的规格的功能形式的响应和结果模型。基于泰勒线性化的一致方差估计器也被提出。数值结果，包括模拟和实际数据的应用，提出。
Weighting adjustment is commonly used in survey sampling to correct for unit nonresponse. In cluster sampling, the missingness indicators are often correlated within clusters and the response mechanism is subject to cluster-specific nonignorable missingness. Based on a parametric working model for the response mechanism that incorporates cluster-specific nonignorable missingness, we propose a method of weighting adjustment. We provide a consistent estimator of the mean or totals in cases where the study variable follows a generalized linear mixed-effects model. The proposed method is robust in the sense that the consistency of the estimator does not require correct specification of the functional forms of the response and outcome models. A consistent variance estimator based on Taylor linearization is also proposed. Numerical results, including a simulation and a real-data application, are presented.
DOI：
10.1214/07-sts227b
发表时间：
2007-01-01
期刊：
Statistical science : a review journal of the Institute of Mathematical Statistics
影响因子：
--
作者：
Tsiatis, Anastasios A;Davidian, Marie
通讯作者：
Davidian, Marie