Centre for Statistical and Survey Methodology, School of Mathematics and Applied Statistics, University of Wollongong, NSW 2522, Australia.
Stat Med. 2009 Dec 20;28(29):3697-717. doi: 10.1002/sim.3723.
Many health and other surveys aim to produce statistics on small subpopulations, such as specific ethnic groups or the indigenous population of a country. In most countries, there is no reliable sampling frame of the subpopulations of interest, hence it is necessary to sample from the general population, which can be very expensive. A range of issues and strategies for sampling rare subpopulations is reviewed. The most common approaches in practice are the use of a large screening sample, and disproportionate sampling by strata. Optimal sample designs have been derived for the case of one-stage sampling, but most household interview surveys use two or more stages of selection. This paper develops optimal designs for two-stage sampling, where there is auxiliary information on subpopulation numbers for each primary sampling unit. Various alternative designs are evaluated using a simulated population derived from the New Zealand Census.
许多健康和其他调查旨在针对小的亚人群产生统计数据,例如特定的族群或一个国家的土著人口。在大多数国家,没有可靠的感兴趣的亚人群抽样框架,因此有必要从一般人群中抽取样本,这可能非常昂贵。本文回顾了抽样罕见亚人群的一系列问题和策略。实践中最常见的方法是使用大型筛选样本和按层不成比例抽样。已经针对单阶段抽样的情况推导出了最佳样本设计,但大多数家庭访谈调查使用两个或更多阶段的选择。本文为每个初级抽样单位都有亚人群数量辅助信息的两阶段抽样开发了最佳设计。使用来自新西兰人口普查的模拟人口对各种替代设计进行了评估。