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Am J Epidemiol. 2007 Jun 1;165(11):1314-20. Epub 2007 Mar 30.

Estimating population size with two- and three-stage sampling designs.

Author information

1
Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. jqt8@cdc.gov

Abstract

Reliable estimates of population size are important for developing and monitoring health programs in at-risk populations. Laska, Meisner, and Siegel (Biometrics 1988;44:461-72) developed an unbiased estimator for the size of a population at a single venue based on a single sample. Because many populations of interest are not contained within a single venue, this article generalizes the Laska, Meisner, and Siegel estimator to incorporate two- and three-stage sampling designs and enable estimation of total population size over multiple venues. Use of the estimator with two- and three-stage sampling designs is illustrated with examples that estimate the size of a population of individuals who socialize over a 4-week period at public venues where transmission of human immunodeficiency virus and other sexually transmitted infections is likely to occur.

PMID:
17400569
DOI:
10.1093/aje/kwm005
[Indexed for MEDLINE]

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