The importance of measuring and accounting for potential biases in respondent-driven samples

AIDS and Behavior

Volumn 17, Issue 6, 2013, Pages 2244-2252

  Rudolph, Abby E ^a   Fuller, Crystal M ^b   Latkin, Carl ^c  

^a PACIFIC INSTITUTE FOR RESEARCH AND EVALUATION   (United States)

^b Columbia University ^*  (United States)

^c JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Bias; Hidden populations; Respondent driven sampling; Sampling weights

Indexed keywords

ARTICLE; EPIDEMIOLOGY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; PSYCHOLOGICAL ASPECT; SAMPLE SIZE; SELF REPORT; STANDARD;

BIAS (EPIDEMIOLOGY); HIV INFECTIONS; HUMANS; SAMPLE SIZE; SAMPLING STUDIES; SELF REPORT;

EID: 84879018534     PISSN: 10907165     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10461-013-0451-y     Document Type: Article

References (48)

1. Heckathorn D. Respondent-driven sampling: a new approach to the study of hidden populations. Soc Probl. 1997;44(2):174-99.
2. Heckathorn D. Respondent-driven sampling II. Deriving valid population estimates from chain-referral samples of hidden populations. Soc Probl. 2002;49(1):11-34.
3. Iguchi M, Ober A, Berry S, Fain R, Heckathorn D, Gorbach P, et al. Simultaneous recruitment of drug users and men who have sex with men in the United States and Russia using respondent-driven sampling: sampling methods and implications. J Urban Health. 2009;86(1):S5-31.
4. Wang J, Carlson RG, Falck RS, Siegal HA, Rahman A, Li L. Respondent-driven sampling to recruit MDMA users: a methodological assessment. Drug Alcohol Depend. 2005;78(2):147-57.
5. Liu H, Li J, Ha T. Assessment of random recruitment assumption in respondent-driven sampling in egocentric network data. Social Netw. 2012;1(2):13-21.
6. McCreesh N, Frost SDW, Seeley J, Katongole J, Tarsh MN, Ndunguse R, et al. Evaluation of respondent-driven sampling. Epidemiology. 2012;23(1):138.
7. de Mello M, de Araujo PA, Chinaglia M, Tun W, J′unior A, Il′ario M, et al. Assessment of risk factors for HIV infection among men who have sex with men in the metropolitan area of Campinas City, Brazil, using respondent-driven sampling: Population Council 2008.
8. Johnston LG, Khanam R, Reza M, Khan SI, Banu S, Alam MS, et al. The effectiveness of respondent driven sampling for recruiting males who have sex with males in Dhaka, Bangladesh. AIDS Behav. 2008;12(2):294-304.
9. Johnston LG, Malekinejad M, Kendall C, Iuppa IM, Rutherford GW. Implementation challenges to using respondent-driven sampling methodology for HIV biological and behavioral surveillance: field experiences in international settings. AIDS Behav. 2008;12(4 Suppl):S131-41.
10. Scott G. "They got their program, and I got mine": a cautionary tale concerning the ethical implications of using respondent-driven sampling to study injection drug users. Int J Drug Policy. 2008;19(1):42-51.
11. Heckathorn D, Semann S, Broadhead R, Hughes J. Extensions of respondent-driven sampling: a new approach to the study of injection drug users aged 18-25. AIDS Behav. 2002;6(1):55-67.
12. Wang J, Falck RS, Li L, Rahman A, Carlson RG. Respondent-driven sampling in the recruitment of illicit stimulant drug users in a rural setting: findings and technical issues. Addict Behav. 2007;32(5):924-37.
13. Gile KJ, Handcock MS. Respondent-driven sampling: an assessment of current methodology. Sociol Methodol. 2010;40(1):285-327.
14. Lu X, Bengtsson L, Britton T, Camitz M, Kim BJ, Thorson A, et al. The sensitivity of respondent-driven sampling. J R Stat Soc: Series A (Statistics in Society) 2011;175(1):191-216.
15. Goel S, Salganik MJ. Assessing respondent-driven sampling. Proc Natl Acad Sci USA. 2010;107(15):6743-7.
16. Gile KJ, Handcock MS. Respondent-driven sampling: an assessment of current methodology. Arxiv preprint arXiv: 09041855. 2009.
17. Tomas A, Gile KJ. The effect of differential recruitment, non-response and non-recruitment on estimators for respondent-driven sampling. Electron J Stat. 2011;5:899-934.
18. Gile KJ. Improved inference for respondent-driven sampling data with application to HIV prevalence estimation. J Am Stat Assoc. 2011;106(493):135-46.
19. Salganik MJ, Heckathorn D. Sampling and estimation in hidden populations using respondent-driven sampling. Sociol Methodol. 2004;34:183-239.
20. Heckathorn D. Extensions of respondent-driven sampling: analyzing continuous variables and controlling for differential recruitment. Sociol Method. 2007;37:151-208.
21. Volz E, Heckathorn DD. Probability based estimation theory for respondent driven sampling. J Official Stat. 2008;24(1):79.
22. Volz E, Wejnert C, Degani I, Heckathorn DD. Respondent-driven sampling analysis tool (RDSAT) version 5.6. Ithaca: Cornell University. 2007.
23. Goel S, Salganik MJ. Assessing respondent-driven sampling. Proc Natl Acad Sci USA. 2010;107(15):6743-7.
24. Frost SD, Brouwer KC, Firestone Cruz MA, Ramos R, Ramos ME, Lozada RM, et al. Respondent-driven sampling of injection drug users in two U.S.-Mexico border cities: recruitment dynamics and impact on estimates of HIV and syphilis prevalence. J Urban Health. 2006;83(6 Suppl):i83-97.
25. Paz-Bailey G, Jacobson JO, Guardado ME, Hernandez FM, Nieto AI, Estrada M, et al. How many men who have sex with men and female sex workers live in El Salvador? Using respondent-driven sampling and capture-recapture to estimate population sizes. Sex Transm Infect. 2011;87:267-8.
26. Yeka W, Maibani-Michie G, Prybylski D, Colby D. Application of respondent driven sampling to collect baseline data on FSWs and MSM for HIV risk reduction interventions in two urban centres in Papua New Guinea. J Urban Health. 2006;83(6 Suppl):i60-72.
27. Ma X, Zhang Q, He X, Sun W, Yue H, Chen S, et al. Trends in prevalence of HIV, syphilis, hepatitis C, hepatitis B, and sexual risk behavior among men who have sex with men. Results of 3 consecutive respondent-driven sampling surveys in Beijing, 2004 through 2006. J Acquir Immune Defic Syndr. 2007;45(5):581-7.
28. DesJarlais D, Arasteh K, Perlis T, Hagan H, Abdul-Quader A, Heckathorn D, et al. Convergence of HIV seroprevalence among injecting and non-injecting drug users in New York City. AIDS. 2007;21:231-5.
29. Johnston LG, Whitehead S, Simic-Lawson M, Kendall C. Formative research to optimize respondent-driven sampling surveys among hard-to-reach populations in HIV behavioral and biological surveillance: lessons learned from four case studies. AIDS Care. 2010;22(6):784-92.
30. Uuskula A, Kals M, Rajaleid K, Abel K, Talu A, Ruutel K, et al. High-prevalence and high-estimated incidence of HIV infection among new injecting drug users in Estonia: need for large scale prevention programs. J Public health (Oxford, England). 2008;30(2):119-25.
31. Kajubi P, Kamya MR, Raymond HF, Chen S, Rutherford GW, Mandel JS, et al. Gay and bisexual men in Kampala, Uganda. AIDS Behav. 2008;12(3):492-504.
32. He Q, Wang Y, Lin P, Raymond HF, Li Y, Yang F, et al. High prevalence of risk behaviour concurrent with links to other high-risk populations: a potentially explosive HIV epidemic among men who have sex with men in Guangzhou, China. Sex Transm Infect. 2009;85(5):383.
33. Wellman B. Network analysis: some basic principles. JSTOR. 1983;1:155-200.
34. Emerson RM. Power-dependence relations. Am Sociol Rev. 1962;27(1):31-41.
35. Shulman N. Network analysis: a new addition to an old bag of tricks. Acta Sociologica. 1976;19(4):307-23.
36. Shulman N. Urban social networks. Unpublished doctoral dissertation, Department of Sociology, University of Toronto. 1972.
37. Coleman J, Katz E, Menzel H. Medical innovation. Indianapolis: The Bobbs-Merrill; 1966.
38. Laumann EO. Friends of urban men: an assessment of accuracy in reporting their socioeconomic attributes, mutual choice, and attitude agreement. Sociometry. 1969;32:54-69.
39. Rudolph AE, Crawford ND, Latkin C, White K, Benjamin EO, Jones KC, et al. Individual, study, and neighborhood level characteristics associated with peer recruitment of young illicit drug users: optimizing respondent driven sampling. Soc Sci Med. 2011;73(7):1097-104.
40. Wejnert C. An empirical test of respondent-driven sampling: point estimates, variance, degree measures, and out-of-equilibrium data. Sociol Methodol. 2009;39(1):73-116.
41. Rudolph AE, Crawford ND, Latkin C, Heimer R, Benjamin EO, Jones KC, et al. Subpopulations of illicit drug users reached by targeted street outreach and respondent-driven sampling strategies: implications for research and public health practice. Ann Epidemiol. 2011;21(4):280-9.
42. Ramirez-Valles J, Heckathorn DD, Vazquez R, Diaz RM, Campbell RT. From networks to populations: the development and application of respondent-driven sampling among IDUs and Latino gay men. AIDS Behav. 2005;9(4):387-402.
43. Brewer DD. Forgetting in the recall-based elicitation of personal and social networks. Soc Netw. 2000;22:29-43.
44. Marsden PV. Network data and measurement. Annu Rev Sociol. 1990;16:435-63.
45. Bell DC, Belli-McQueen B, Haider A. Partner naming and forgetting: recall of network members. Social Netw. 2007;29(2):279-99.
46. Gwadz MV, Leonard NR, Cleland CM, Riedel M, Banfield A, Mildvan D. The effect of peer-driven intervention on rates of screening for AIDS clinical trials among African Americans and Hispanics. Am J Public Health. 2011;101(6):1096-102.
47. Abramovitz D, Volz EM, Strathdee SA, Patterson TL, Vera A, Frost SDW, et al. Using respondent-driven sampling in a hidden population at risk of HIV infection: who do HIV-positive recruiters recruit? Sex Transm Dis. 2009;36(12):750-6.
48. Broadhead RS, Heckathorn DD, Weakliem DL, Anthony DL, Madray H, Mills RJ, et al. Harnessing peer networks as an instrument for AIDS prevention: results from a peer-driven intervention. Public Health. 1999;113:42-57.