Evaluating Variance Estimators for Respondent-Driven Sampling

Keywords

Estimator, Statistics, Variance (accounting), Confidence interval, Point estimation

References

• The sensitivity of respondent‐driven samplingXin Lü, Linus Bengtsson, Tom Britton — 2012
• An Introduction to Bootstrap Methods with Applications to RMichael R. Chernick, Robert A LaBudde — 2011
• Estimating Design Effect and Calculating Sample Size for Respondent-Driven Sampling Studies of Injection Drug Users in the United StatesCyprian Wejnert, Huong Pham, Nevin Krishna — 2012
• Improved Inference for Respondent-Driven Sampling Data With Application to HIV Prevalence EstimationKrista J. Gile — 2010
• Changing the Landscape of the HIV Epidemic among MSM in China: Results from Three Consecutive Respondent-Driven Sampling Surveys from 2009 to 2011Xuefeng Li, Hongyan Lu, Catherine M. Cox — 2014
• The effect of differential recruitment, non-response and non-recruitment on estimators for respondent-driven samplingAmber Tomas, Krista J. Gile — 2010
• Respondent-driven Sampling on Directed NetworksXin Lü, Jens Malmros, Fredrik Liljeros — 2012
• Challenges to Recruiting Population Representative Samples of Female Sex Workers in China Using Respondent Driven SamplingM. Giovanna Merli, James Moody, Jeffrey A. Smith — 2014
• An Empirical Analysis of the Impact of Recruitment Patterns on RDS Estimates among a Socially Ordered Population of Female Sex Workers in ChinaThespina J. Yamanis, M. Giovanna Merli, W. Whipple Neely — 2013
• Variance Estimation, Design Effects, and Sample Size Calculations for Respondent-Driven SamplingMatthew Salganik — 2006
• Network Model-Assisted Inference from Respondent-Driven Sampling DataKrista J. Gile, Mark S. Handcock — 2011
• HIV Infection among Men Who Have Sex with Men in Kampala, Uganda–A Respondent Driven Sampling SurveyWolfgang Hladik, Joseph Barker, John M. Ssenkusu — 2012
• Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical AccuracyB. Efron, R. Tibshirani — 1986
• 5. Sampling and Estimation in Hidden Populations Using Respondent-Driven SamplingMatthew Salganik, Douglas D. Heckathorn — 2004
• A statnet Tutorial.Steven M. Goodreau, Mark S. Handcock, David R. Hunter — 2008
• Birds of a feather, or friend of a friend? using exponential random graph models to investigate adolescent social networks*Steven M. Goodreau, James A. Kitts, Martina Morris — 2009
• Evaluation of Respondent-Driven SamplingNicky McCreesh, Simon D. W. Frost, Janet Seeley — 2012
• Using Respondent-Driven Sampling Methodology for HIV Biological and Behavioral Surveillance in International Settings: A Systematic ReviewMohsen Malekinejad, Lisa G. Johnston, Carl Kendall — 2008
• Network Structure and Biased Variance Estimation in Respondent Driven SamplingAshton M. Verdery, Ted Mouw, Shawn Bauldry — 2013
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Cited by

• Methods for Inference from Respondent-Driven Sampling DataKrista J. Gile, Isabelle S. Beaudry, Mark S. Handcock — 2018
• Reduced bias for respondent‐driven sampling: accounting for non‐uniform edge sampling probabilities in people who inject drugs in MauritiusMiles Q. Ott, Krista J. Gile, Matthew Tom Harrison — 2017
• Simple estimators for network samplingSteve Thompson — 2018
• Characterising the flows of Slovenian tourists within the former Yugoslavia with respect to post-communist ‘nostalgic context’Metod Šuligoj — 2018
• Rhythm of urban retail landscapes: Shopping hours and the urban chronotopesOndřej Mulíček, Robert Osman — 2018
• Network Distribution and Respondent-Driven Sampling (RDS) Inference About People Who Inject Drugs in Ottawa, OntarioKahina Abdesselam — 2019
• Design-adherent estimators for network surveysSteve Thompson — 2019
• Unweighted regression models perform better than weighted regression techniques for respondent-driven sampling data: results from a simulation studyLisa Avery, Nooshin Khobzi Rotondi, Constance McKnight — 2019
• The development of respondent-driven sampling (RDS) inference: A systematic review of the population mean and variance estimates.Kahina Abdesselam, Ashton M. Verdery, Linda Pelude — 2019
• Population Size Estimation Using Multiple Respondent-Driven Sampling Surveys.Brian Kim, Mark S. Handcock — 2019
• New estimates for network samplingSteve Thompson — 2020
• Sampling from networks: respondent-driven samplingMamadou Yauck, Erica E. M. Moodie, Herak Apelian — 2020
• Estimation of Non-Linear Parameters with Data Collected Using Respondent-Driven SamplingI. Sánchez-Borrego, M. Rueda, Héctor Salomón Mullo Guaminga — 2020
• Neighbourhood Bootstrap for Respondent-Driven SamplingMamadou Yauck, Erica E. M. Moodie, Herak Apelian — 2020
• Stature Estimation from the Right External Ear of Undergraduate Students in South-East NigeriaObaje Godwin Sunday, Sophia Chinenye Nwankwo, Augustin Ogugua Egwu — 2020
• A review of reported network degree and recruitment characteristics in respondent driven sampling implications for applied researchers and methodologistsLisa Avery, Alison Macpherson, Sarah Flicker — 2021
• ConVid - Behavior Survey by the Internet during the COVID-19 pandemic in Brazil: conception and application methodology.Célia Landmann Szwarcwald, Paulo Roberto Borges de Souza Júnior, Giseli Nogueira Damacena — 2021
• Using respondent-driven sampling to recruit psychoactive drug users: experiences from a pilot study conducted in Kandy District Sri LankaSashiprabha Nawaratne, Vidanapathirana H.M.J.P, Consultant Community Physician/ Director, National Cancer Control Programme, Ministry of Health, Sri Lanka. — 2022
• Smartphone-based Respondent Driven Sampling (RDS): A methodological advance in surveying small or ‘hard-to-reach’ populationsFilip Sosenko, Glen Bramley — 2022
• Evaluation of Respondent-Driven Sampling Prevalence Estimators Using Real-World Reported Network DegreeLisa Avery, Michael Rotondi — 2023

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