Diagnostics for respondent-driven sampling

• Published in: Journal of the Royal Statistical Society. Series A, Statistics in society Vol. 178; no. 1; pp. 241 - 269
• Main Authors: Gile, Krista J., Johnston, Lisa G., Salganik, Matthew J.
• Format: Journal Article
• Language: English
• Published: England Blackwell Publishing Ltd 01.01.2015; John Wiley & Sons Ltd; Oxford University Press
• Subjects: Acquired immune deficiency syndrome; AIDS; Coupons; Data collection; Diagnostic software; Diagnostics; Diseases; Estimation bias; Estimators; Exploratory data analysis; Hard-to-reach populations; Health risk assessment; HIV; Human immunodeficiency virus; Inference; Link tracing sampling; Non-ignorable design; Organizations; Population; Population estimates; Populations; Public health; Respiratory distress syndrome; Respondent-driven sampling; Risk; Sampling; Sampling bias; Sampling techniques; Social networks; Statistical analysis; Statistics; Survey sampling; HIV/AIDS; diagnostics; hard-to-reach populations; respondent-driven sampling; exploratory data analysis; non-ignorable design; survey sampling; social networks; link-tracing sampling

Respondent-driven sampling (RDS) is a widely used method for sampling from hard-to-reach human populations, especially populations at higher risk for human immunodeficiency virus or acquired immune deficiency syndrome. Data are collected through a peer referral process over social networks. RDS has...