Evaluation of Respondent-driven Sampling
Author(s) -
Nicky McCreesh,
Simon D. W. Frost,
Janet Seeley,
Joseph Katongole,
Matilda Nadagire Tarsh,
Richard Ndunguse,
F Jichi,
Natasha L. TilstonLunel,
Dermot Maher,
Lisa G. Johnston,
Pam Sonnenberg,
Andrew Copas,
Richard Hayes,
Richard G. White
Publication year - 2011
Publication title -
epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.901
H-Index - 173
eISSN - 1531-5487
pISSN - 1044-3983
DOI - 10.1097/ede.0b013e31823ac17c
Subject(s) - respondent , population , sampling (signal processing) , socioeconomic status , sample (material) , statistics , demography , survey sampling , stratified sampling , mathematics , computer science , chemistry , filter (signal processing) , chromatography , sociology , political science , law , computer vision
Respondent-driven sampling is a novel variant of link-tracing sampling for estimating the characteristics of hard-to-reach groups, such as HIV prevalence in sex workers. Despite its use by leading health organizations, the performance of this method in realistic situations is still largely unknown. We evaluated respondent-driven sampling by comparing estimates from a respondent-driven sampling survey with total population data.
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