Abstract Purpose of Review We provided an overview of sampling methods for hard-to-
reach populations and guidance on implementing one of the most popular approaches …

Network sampling emerged as a set of methods for drawing statistically valid samples of
hard-to-reach populations. The first form of network sampling, multiplicity sampling, involved …

The need for notes by Goodman (2011) and Heckathorn (2011) reflects a phenomenon in
the sociology of science: that multidisciplinary fields tend to produce a plethora of …

Respondent‐driven sampling (RDS) employs a variant of a link‐tracing network sampling
strategy to collect data from hard‐to‐reach populations. By tracing the links in the underlying …

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 …

Abstract Respondent-Driven Sampling (RDS) is n approach to sampling design and
inference in hard-to-reach human populations. It is often used in situations where the target …

The network scale-up method enables researchers to estimate the sizes of hidden
populations, such as drug injectors and sex workers, using sampled social network data …

Respondent-driven sampling (RDS) is a methodology for sampling and analysing survey
data from rare and elusive populations that has gained increasing attention in migration …

This snapshot of the current frontier of statistics and network analysis focuses on the
foundational topics of modeling, sampling, and design. Primarily for graduate students and …

In many countries, HIV/AIDS infections are concentrated in 3 high-risk groups: injection drug
users, sex workers, and men who have sex with men. 1 Accurate information about disease …