Respondent-driven sampling is a commonly used method for sampling from hard-to-reach
human populations connected by an underlying social network of relations. Beginning with a …

Background It is unclear whether weighted or unweighted regression is preferred in the
analysis of data derived from respondent driven sampling. Our objective was to evaluate the …

A ConVid-Pesquisa de Comportamentos foi realizada no Brasil de 24 de abril a 24 de maio
de 2020, com o objetivo de investigar as mudanças nos estilos de vida e nas condições de …

Background Respondent-driven sampling (RDS) is a successful data collection method
used in hard-to-reach populations, like those experiencing or at high risk of drug …

Abstract The ConVid–Behavior Survey was conducted in Brazil from April 24 to May 24,
2020, aiming to investigate changes in lifestyles and health conditions during the COVID-19 …

Producing statistically robust profiles of small or 'hard-to-reach'populations has always been
a challenge for researchers. Since surveying the wider population in order to capture a large …

We test the effectiveness of a link-tracing sampling approach—network sampling with
memory (NSM)—to recruit samples of rare immigrant populations with an application among …

This article summarizes the main elements, advantages, and disadvantages of Respondent-
driven Sampling (RDS). Some criticisms regarding the feasibility of the inherent …

Respondent-driven sampling (RDS) is commonly used to study hard-to-reach populations
since traditional methods are unable to efficiently survey members due to the typically highly …

In 2021, an RDS survey was conducted among Venezuelan migrant women of reproductive
age who migrated to two Brazilian cities (Manaus and Boa Vista) from 2018 to 2021. To start …