Details:

Alternative Title:
AIDS Behav
Personal Author:
Wejnert, Cyprian; Pham, Huong; Krishna, Nevin; Le, Binh; DiNenno, Elizabeth;
Wejnert, Cyprian; Pham, Huong; Krishna, Nevin; Le, Binh; DiNenno, Elizabeth; Less -
Description:
Respondent-driven sampling (RDS) has become increasingly popular for sampling hidden populations, including injecting drug users (IDU). However, RDS data are unique and require specialized analysis techniques, many of which remain underdeveloped. RDS sample size estimation requires knowing design effect (DE), which can only be calculated post hoc. Few studies have analyzed RDS DE using real world empirical data. We analyze estimated DE from 43 samples of IDU collected using a standardized protocol. We find the previous recommendation that sample size be at least doubled, consistent with DE = 2, underestimates true DE and recommend researchers use DE = 4 as an alternate estimate when calculating sample size. A formula for calculating sample size for RDS studies among IDU is presented. Researchers faced with limited resources may wish to accept slightly higher standard errors to keep sample size requirements low. Our results highlight dangers of ignoring sampling design in analysis.
Subject:
[+]
Adolescent
Adult
Drug Users
Epidemiologic Research Design
Female
HIV Seropositivity
Humans
Male
Middle Aged
Peer Group
Referral And Consultation
Risk-Taking
Sample Size
Sampling Studies
Sentinel Surveillance
Substance Abuse, Intravenous
Young Adult

Source:
AIDS Behav. 16(4):797-806.;
Document Type:
Journal Article;
Place as Subject:
United States;
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:a9825cd8780b822efe44ec01579da55b773ef114f432f019e6876baab626d053
File Type:

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