Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 3697-3717 |
| Number of pages | 21 |
| Journal | Statistics in Medicine |
| Volume | 28 |
| Issue number | 29 |
| DOIs | |
| Publication status | Published - 20 Dec 2009 |
| Externally published | Yes |
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