Probability based estimation theory for respondent driven sampling

By Erik M. Volz, Douglas D. Heckathorn. 2008

633 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/07cdde274775e417d8d6759e5961b6ac678e0536

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Citations in the corpus

Walking in Facebook: A Case Study of Unbiased Sampling of OSNs (2010, methodology): “This can be done using the Hansen-Hurwitz estimator [26] as first shown in [21], [27] for random walks and also later used in [16].”
Respondent-Driven Sampling: An Assessment of Current Methodology (2009, methodology): “This innovation was proposed by Salganik and Heckathorn (2004) and extended by Volz and Heckathorn (2008).”
SNOWBALL VERSUS RESPONDENT-DRIVEN SAMPLING (2011, unknown): “Leo Goodman (2011) provided a useful service with his clarification of the differences among snowball sampling as originally introduced by Coleman (1958–1959) and Goodman (1961) as a means for studying the structure of social networks; snowball sampling as a convenience method for studying hard-to-r”
Random walks and diffusion on networks (2016, background): “essary to take a weighted mean because the probability of being recruited depends on the position of a person in a network. The so-called \RDS II estimator" is an ecient and realistic estimator [379]. Consider the case in which each respondent passes a single coupon to one of its uniformly rand”
Assessing respondent-driven sampling (2010, methodology): “Rather than attempting to model the complex social dynamics that play out during the RDS recruitment process, in our simulations we assume the same, idealized sampling conditions considered in the theoretical RDS literature (4, 8, 10, 30).”
The effect of differential recruitment, non-response and non-recruitment on estimators for respondent-driven sampling (2010, methodology): “Subsequent papers (Salganik and Heckathorn, 2004; Volz and Heckathorn, 2008; Heckathorn, 2007; Gile, 2010) have relaxed some of these assumptions and proposed several alternative estimators.”
Variance Estimation, Design Effects, and Sample Size Calculations for Respondent-Driven Sampling (2006, methodology): “However, some progress has been made on analytic variance estimation when an alternative estimation procedure is used.(15) SALGANIK i100”
Estimating and sampling graphs with multidimensional random walks (2010, background): “Applications include, but are not limited to estimating characteristics of a population [36] (e.”
A Survey of Statistical Network Models (2009, background): “There is also related work on target sampling [294] and respondent-driven sampling [258; 305].”