Linked Life Data

16344920

Source:http://linkedlifedata.com/resource/pubmed/id/16344920

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2006-2-7
pubmed:abstractText
The application of respondent-driven sampling (RDS) is a promising new approach to understanding hidden populations, including those at high risk for HIV infection. The method has significant advantages over other sampling methods, including the possibility that representativeness samples can be accrued. However, the requirements for a respondent-driven sample to achieve representative and to demonstrate its superiority over other methods are quite strict. This report focuses on whether the accompanying paper by Ramirez-Valles et al. fulfills these requirements in terms of the theorems underlying RDS regarding sample recruitment rates, referral patterns, and network sizes. Further, it investigates the assertion that the accrued sample has proven that RDS is superior to more traditional time-location or venue-based sampling methods. Unconvinced that either is the case, the author suggests a method to test if RDS is indeed the gold-standard recruitment strategy for obtaining inclusive and representative samples of hidden populations.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1090-7165
pubmed:author
pubmed:issnType
Print
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
403-8; discussion 409-13
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Critical issues and further questions about respondent-driven sampling: comment on Ramirez-Valles, et al. (2005).
pubmed:affiliation
Yale School of Public Health, Yale University, 60 College Street, PO Box 208034, New Haven, Connecticut, USA. robert.heimer@yale.edu
pubmed:publicationType
Journal Article, Comment