
doi: 10.1002/sim.3723
pmid: 19739232
AbstractMany 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. Copyright © 2009 John Wiley & Sons, Ltd.
Adult, household surveys, screening, Data Collection, sampling rare populations, 310, multi-stage sampling, Disproportionate sampling, Population Groups, Data Interpretation, Statistical, Physical Sciences and Mathematics, Humans, sample design, Computer Simulation
Adult, household surveys, screening, Data Collection, sampling rare populations, 310, multi-stage sampling, Disproportionate sampling, Population Groups, Data Interpretation, Statistical, Physical Sciences and Mathematics, Humans, sample design, Computer Simulation
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