Shirley Mathur,Yajuan Si,Jerome P Reiter
Shirley Mathur
When seeking to release public use files for confidential data, statistical agencies can generate fully synthetic data. We propose an approach for making fully synthetic data from surveys collected with complex sampling designs. Our approac...
A note on multiply robust predictive mean matching imputation with complex survey data [0.03%]
基于复杂抽样数据的多重稳健预测均值匹配插补的一个注记
Sixia Chen,David Haziza,Alexander Stubblefield
Sixia Chen
Predictive mean matching is a commonly used imputation procedure for addressing the problem of item nonrespone in surveys. The customary approach relies upon the specification of a single outcome regression model. In this note, we propose a...
The anchoring method: Estimation of interviewer effects in the absence of interpenetrated sample assignment [0.03%]
锚定方法：无交错样本分配情况下的访问员效应估计
Michael R Elliott,Brady T West,Xinyu Zhang et al.
Michael R Elliott et al.
Methodological studies of the effects that human interviewers have on the quality of survey data have long been limited by a critical assumption: that interviewers in a given survey are assigned random subsets of the larger overall sample (...
Kirk M Wolter,Xian Tao,Robert Montgomery et al.
Kirk M Wolter et al.
Careful design of a dual-frame random digit dial (RDD) telephone survey requires selecting from among many options that have varying impacts on cost, precision, and coverage in order to obtain the best possible implementation of the study g...
Qi Dong,Michael R Elliott,Trivellore E Raghunathan
Qi Dong
This manuscript describes the use of multiple imputation to combine information from multiple surveys of the same underlying population. We use a newly developed method to generate synthetic populations nonparametrically using a finite popu...
A nonparametric method to generate synthetic populations to adjust for complex sampling design features [0.03%]
一种生成合成人群的非参数方法以调整复杂的抽样设计特征
Qi Dong,Michael R Elliott,Trivellore E Raghunathan
Qi Dong
Outside of the survey sampling literature, samples are often assumed to be generated by a simple random sampling process that produces independent and identically distributed (IID) samples. Many statistical methods are developed largely in ...
Bayesian inference for finite population quantiles from unequal probability samples [0.03%]
不等概率抽样下有限总体分位数的贝叶斯推断
Qixuan Chen,Michael R Elliott,Roderick J A Little
Qixuan Chen
This paper develops two Bayesian methods for inference about finite population quantiles of continuous survey variables from unequal probability sampling. The first method estimates cumulative distribution functions of the continuous survey...
Bayesian penalized spline model-based inference for finite population proportion in unequal probability sampling [0.03%]
基于不等概率抽样的贝叶斯惩罚样条模型有限总体比例估计
Qixuan Chen,Michael R Elliott,Roderick J A Little
Qixuan Chen
We propose a Bayesian Penalized Spline Predictive (BPSP) estimator for a finite population proportion in an unequal probability sampling setting. This new method allows the probabilities of inclusion to be directly incorporated into the est...
Optimal sample allocation for design-consistent regression in a cancer services survey when design variables are known for aggregates [0.03%]
已知汇总设计变量的癌症服务调查中具有设计一致性的回归的最优样本分配方案研究
Alan M Zaslavsky,Hui Zheng,John Adams
Alan M Zaslavsky
We consider optimal sampling rates in element-sampling designs when the anticipated analysis is survey-weighted linear regression and the estimands of interest are linear combinations of regression coefficients from one or more models. Meth...
H Hogan,K Wolter
H Hogan
"The U.S. Bureau of the Census will use a post-enumeration survey to measure the coverage of the 1990 Decennial Census. The Census Bureau has developed and tested new procedures aimed at increasing the accuracy of the survey. This paper des...