Estimating population size with two-and three-stag... Catalogue en ligne

Titre :	Estimating population size with two-and three-stage sampling designs. (2007)
Auteurs :	TATE (Jacqueline-E) : USA. Department of Epidemiology. University of North Carolina at Chapel Hill. Chapel Hill. NC. ; HUDGENS (Michael-G) : USA. Department of Biostatistics. University of North Carolina at Chapel Hill. Chapel Hill. NC.
Type de document :	Article
Dans :	American journal of epidemiology (vol. 165, n° 11, 2007)
Pagination :	1314-1320
Langues:	Anglais
Mots-clés :	Estimation ; Population ; Prélèvement ; Epidémiologie ; Homme
Résumé :	[BDSP. Notice produite par INIST-CNRS XDfR0x6S. Diffusion soumise à autorisation]. 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.

PORTAIL DOCUMENTAIRE