Literature DB >> 26327739

Nonparametric Identification for Respondent-Driven Sampling.

Peter M Aronow1, Forrest W Crawford2.   

Abstract

We detail nonparametric identification results for respondent-driven sampling when sampling probabilities are assumed to be functions of network degree known to scale. We show that the conditions for consistency of the Volz-Heckathorn estimator are weaker than previously assumed.

Entities:  

Keywords:  Horvitz-Thompson estimator; network degree; respondent-driven sampling

Year:  2015        PMID： 26327739      PMCID： PMC4552244          DOI： 10.1016/j.spl.2015.07.003

Source DB:  PubMed          Journal:  Stat Probab Lett        ISSN： 0167-7152            Impact factor:   0.870


  12 in total

1.  Commentary: Respondent-driven Sampling in the Real World.

Authors:  Matthew J Salganik
Journal:  Epidemiology       Date:  2012-01       Impact factor: 4.822

2.  Critical issues and further questions about respondent-driven sampling: comment on Ramirez-Valles, et al. (2005).

Authors:  Robert Heimer
Journal:  AIDS Behav       Date:  2005-12

3.  Implementation challenges to using respondent-driven sampling methodology for HIV biological and behavioral surveillance: field experiences in international settings.

Authors:  Lisa Grazina Johnston; Mohsen Malekinejad; Carl Kendall; Irene M Iuppa; George W Rutherford
Journal:  AIDS Behav       Date:  2008-06-06

Review 4.  Variance estimation, design effects, and sample size calculations for respondent-driven sampling.

Authors:  Matthew J Salganik
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

5.  Evaluation of respondent-driven sampling.

Authors:  Nicky McCreesh; Simon D W Frost; Janet Seeley; Joseph Katongole; Matilda N Tarsh; Richard Ndunguse; Fatima Jichi; Natasha L Lunel; Dermot Maher; Lisa G Johnston; Pam Sonnenberg; Andrew J Copas; Richard J Hayes; Richard G White
Journal:  Epidemiology       Date:  2012-01       Impact factor: 4.822

6.  AN EMPIRICAL TEST OF RESPONDENT-DRIVEN SAMPLING: POINT ESTIMATES, VARIANCE, DEGREE MEASURES, AND OUT-OF-EQUILIBRIUM DATA.

Authors:  Cyprian Wejnert
Journal:  Sociol Methodol       Date:  2009-08-01

7.  Harnessing peer networks as an instrument for AIDS prevention: results from a peer-driven intervention.

Authors:  R S Broadhead; D D Heckathorn; D L Weakliem; D L Anthony; H Madray; R J Mills; J Hughes
Journal:  Public Health Rep       Date:  1998-06       Impact factor: 2.792

8.  Respondent-Driven Sampling: An Assessment of Current Methodology.

Authors:  Krista J Gile; Mark S Handcock
Journal:  Sociol Methodol       Date:  2010-08

9.  Respondent-driven sampling as Markov chain Monte Carlo.

Authors:  Sharad Goel; Matthew J Salganik
Journal:  Stat Med       Date:  2009-07-30       Impact factor: 2.373

10.  Respondent driven sampling--where we are and where should we be going?

Authors:  Richard G White; Amy Lansky; Sharad Goel; David Wilson; Wolfgang Hladik; Avi Hakim; Simon D W Frost
Journal:  Sex Transm Infect       Date:  2012-10       Impact factor: 3.519
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  3 in total

1.  Identification of Homophily and Preferential Recruitment in Respondent-Driven Sampling.

Authors:  Forrest W Crawford; Peter M Aronow; Li Zeng; Jianghong Li
Journal:  Am J Epidemiol       Date:  2018-01-01       Impact factor: 4.897

2.  Overlooked Threats to Respondent Driven Sampling Estimators: Peer Recruitment Reality, Degree Measures, and Random Selection Assumption.

Authors:  Jianghong Li; Thomas W Valente; Hee-Sung Shin; Margaret Weeks; Alexei Zelenev; Gayatri Moothi; Heather Mosher; Robert Heimer; Eduardo Robles; Greg Palmer; Chinekwu Obidoa
Journal:  AIDS Behav       Date:  2018-07

3.  THE GRAPHICAL STRUCTURE OF RESPONDENT-DRIVEN SAMPLING.

Authors:  Forrest W Crawford
Journal:  Sociol Methodol       Date:  2016-08-01
  3 in total

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