Literature DB >> 21593467

Capture-recapture methods and respondent-driven sampling: their potential and limitations.

Yakir Berchenko, Simon D W Frost.   

Abstract

Mesh:

Year:  2011        PMID: 21593467     DOI: 10.1136/sti.2011.049171

Source DB:  PubMed          Journal:  Sex Transm Infect        ISSN: 1368-4973            Impact factor:   3.519


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  12 in total

1.  Population Size Estimation Using Multiple Respondent-Driven Sampling Surveys.

Authors:  Brian J Kim; Mark S Handcock
Journal:  J Surv Stat Methodol       Date:  2019-12-07

2.  Estimating the size of populations at high risk for HIV using respondent-driven sampling data.

Authors:  Mark S Handcock; Krista J Gile; Corinne M Mar
Journal:  Biometrics       Date:  2015-01-13       Impact factor: 2.571

Review 3.  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

4.  Estimating the Size of the Methamphetamine-Using Population in New York City Using Network Sampling Techniques.

Authors:  Kirk Dombrowski; Bilal Khan; Travis Wendel; Katherine McLean; Evan Misshula; Ric Curtis
Journal:  Adv Appl Sociol       Date:  2012-12-01

5.  Estimating hidden population size using Respondent-Driven Sampling data.

Authors:  Mark S Handcock; Krista J Gile; Corinne M Mar
Journal:  Electron J Stat       Date:  2014       Impact factor: 1.125

6.  Population size, HIV, and behavior among MSM in Luanda, Angola: challenges and findings in the first ever HIV and syphilis biological and behavioral survey.

Authors:  Carl Kendall; Ligia Regina Franco Sansigolo Kerr; Rosa Maria Salani Mota; Socorro Cavalcante; Raimunda Hermelinda Maia Macena; Sanny Chen; Nicholas Gaffga; Edgar Monterosso; Fransisco I Bastos; Dulcelina Serrano
Journal:  J Acquir Immune Defic Syndr       Date:  2014-08-15       Impact factor: 3.731

7.  One-step estimation of networked population size: Respondent-driven capture-recapture with anonymity.

Authors:  Bilal Khan; Hsuan-Wei Lee; Ian Fellows; Kirk Dombrowski
Journal:  PLoS One       Date:  2018-04-26       Impact factor: 3.240

8.  Assessing network scale-up estimates for groups most at risk of HIV/AIDS: evidence from a multiple-method study of heavy drug users in Curitiba, Brazil.

Authors:  Matthew J Salganik; Dimitri Fazito; Neilane Bertoni; Alexandre H Abdo; Maeve B Mello; Francisco I Bastos
Journal:  Am J Epidemiol       Date:  2011-10-14       Impact factor: 4.897

9.  Estimating the size of the female sex worker population in Kenya to inform HIV prevention programming.

Authors:  Willis Omondi Odek; George N Githuka; Lisa Avery; Peter K Njoroge; Lombe Kasonde; Marelize Gorgens; Joshua Kimani; Lawrence Gelmon; Gloria Gakii; Shajy Isac; Emmanuel Faran; Helgar Musyoki; William Maina; James F Blanchard; Stephen Moses
Journal:  PLoS One       Date:  2014-03-03       Impact factor: 3.240

10.  Application of Network Scale Up Method in the Estimation of Population Size for Men Who Have Sex with Men in Shanghai, China.

Authors:  Jun Wang; Ying Yang; Wan Zhao; Hualin Su; Yanping Zhao; Yue Chen; Tao Zhang; Tiejun Zhang
Journal:  PLoS One       Date:  2015-11-18       Impact factor: 3.240

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