Social Networking

Social Networking

ISSN Print: 2169-3285
ISSN Online: 2169-3323
www.scirp.org/journal/sn
E-mail: sn@scirp.org
"Assessment of Random Recruitment Assumption in Respondent-Driven Sampling in Egocentric Network Data*"
written by Hongjie Liu, Jianhua Li, Toan Ha, Jian Li,
published by Social Networking, Vol.1 No.2, 2012
has been cited by the following article(s):
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[1] Community-Based Prevalence Estimates of Chlamydia trachomatis and Neisseria gonorrhoeae Infections Among Gay, Bisexual, and Other Men Who Have Sex With …
Lavoie, H Apelian, AC Labbé… - Sexually Transmitted …, 2021
[2] Community-Based prevalence estimates of Chlamydia trachomatis and Neisseria gonorrhoeae infections among gay, bisexual, and other men who have sex with men …
Lavoie, H Apelian, AC Labbé… - Sexually transmitted …, 2021
[3] Leveraging Social Networks to Fight HIV: The Battle of Female Sex Workers
2020
[4] Residual-matching: An efficient alternative to random sampling in human subjects research recruitment
2020
[5] Using geographical data and rolling statistics for diagnostics of respondent-driven sampling
2020
[6] Correcting for differential recruitment in respondent-driven sampling data using ego-network information
2020
[7] Empirical evidence of recruitment bias in a network study of people who inject drugs
2019
[8] Non-Standard Bird Names in England, Bavaria and Austria: A Diachronic Comparative Study
2019
[9] A válaszadó-vezérelt mintavétel–kísérlet egy módszer társadalomtudományi szemléletű bemutatására
2019
[10] Statistical adjustment of network degree in respondent-driven sampling estimators: Venue attendance as a proxy for network size among young MSM
Social Networks, 2018
[11] Methods for Inference from Respondent-Driven Sampling Data
2018
[12] Collecting data from migrants in Ghana: Lessons learned using respondent-driven sampling
2018
[13] Biomarker validation of self-reported sex among middle-aged female sex workers in China
Annals of Epidemiology, 2017
[14] Overlooked Threats to Respondent Driven Sampling Estimators: Peer Recruitment Reality, Degree Measures, and Random Selection Assumption
AIDS and Behavior, 2017
[15] Inference for respondent-driven sampling with misclassification
2017
[16] Inference from network data in hard-to-reach populations
2017
[17] Estimation de prévalences et d'incidences à partir d'enquêtes épidémiologiques transversales répétées auprès de populations difficiles d'accès: Application au virus …
Thèse, 2016
[18] Update on respondent-driven sampling: Theory and practical considerations for studies of persons who inject drugs
Methodological Innovations, 2016
[19] Statistical design and analysis plan for an impact evaluation of an HIV treatment and prevention intervention for female sex workers in Zimbabwe: a study …
2016
[20] Factors Associated with Productive Recruiting in a Respondent-Driven Sample of Men who Have Sex with Men in Vancouver, Canada
Journal of Urban Health, 2016
[21] Egocentric Network and Condom Use Among Mid-Age Female Sex Workers in China: A Multilevel Modeling Analysis
AIDS patient care and STDs, 2016
[22] Syphilis among middle-aged female sex workers in China: a three-site cross-sectional study
BMJ open, 2016
[23] Statistical design and analysis plan for an impact evaluation of an HIV treatment and prevention intervention for female sex workers in Zimbabwe: a study protocol for a cluster randomised controlled trial
Trials, 2016
[24] Statistical design and analysis plan for an impact evaluation of an HIV treatment and prevention intervention for female sex workers in Zimbabwe: a study …
2016
[25] Syphilis among middle-aged female sex workers in China: a three-site cross-sectional
BMJ, 2016
[26] Bias in Self-Reported Condom Use: Association Between Over-Reported Condom Use and Syphilis in a Three-Site Study in China
AIDS and Behavior, 2015
[27] Identification of homophily and preferential recruitment in respondent-driven sampling
arXiv preprint arXiv:1511.05397, 2015
[28] Diagnostics for respondent‐driven sampling
Journal of the Royal Statistical Society: Series A (Statistics in Society), 2015
[29] Estimating Vertex Measures in Social Networks by Sampling Completions of RDS Trees
Social Networking, 2015
[30] Assessing the Geographic Coverage and Spatial Clustering of Illicit Drug Users Recruited through Respondent-Driven Sampling in New York City
Journal of Urban Health, 2015
[31] High prevalence of stigma-related abuse among a sample of men who have sex with men in Tanzania: implications for HIV prevention
AIDS care, 2015
[32] Correlates of unprotected anal intercourse: the influence of anal sex position among men who have sex with men in Beijing, china
2015
[33] Diagnostics for respondent-driven sampling
2015
[34] Spatial, temporal and relational patterns in respondent-driven sampling: evidence from a social network study of rural drug user
Journal of epidemiology and community health, 2014
[35] High HIV seroprevalence, rectal STIs and risky sexual behaviour in men who have sex with men in Dar es Salaam and Tanga, Tanzani
BMJ open, 2014
[36] Evaluating Outcome-Correlated Recruitment and Geographic Recruitment Bias in a Respondent-Driven Sample of People Who Inject Dru
AIDS and Behavior, 2014
[37] A simulative comparison of respondent driven sampling with incentivized snowball sampling–The “strudel effect”
Drug and alcohol dependence, 2014
[38] Spatial, temporal and relational patterns in respondent-driven sampling: evidence from a social network study of rural drug users
2014
[39] The importance of measuring and accounting for potential biases in respondent-driven samples
AIDS and Behavior.Springer, 2013
[40] Manuscript Information
Current Opinion in Biotechnology, 2013
[41] Rudolph et al 2013 RDS degree bias nihms-458435
2013
[42] Assessing sexual risk behavior among men who have sex with men in Vietnam: development and use of a new Internet-based sampling
L Bengtsson, 2012
[43] Assessing sexual risk behavior among men who have sex with men in Vietnam: development and use of a new Internet-based sampling method
2012
[44] Volume 38-Article 36| Pages 1017–1058 Collecting data from migrants in Ghana: Lessons learned using respondent-driven sampling
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