Literature DB >> 17400569

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

Jacqueline E Tate1, Michael G Hudgens.   

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.

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Mesh:

Year:  2007        PMID: 17400569     DOI: 10.1093/aje/kwm005

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  3 in total

Review 1.  Estimating the size of key populations: current status and future possibilities.

Authors:  Abu S Abdul-Quader; Andrew L Baughman; Wolfgang Hladik
Journal:  Curr Opin HIV AIDS       Date:  2014-03       Impact factor: 4.283

2.  Indirect estimation of student marijuana consumers population in Hamadan using PRM and NSU methods.

Authors:  Leyla Halimi; Mohammad Babamiri; Yadollah Hamidi; Seyyed Reza Majdzadeh; Ali Reza Soltanian
Journal:  Med J Islam Repub Iran       Date:  2020-11-30

Review 3.  Design-Based Approach for Analysing Survey Data in Veterinary Research.

Authors:  D Aaron Yang; Richard A Laven
Journal:  Vet Sci       Date:  2021-06-08
  3 in total

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