Statistical Adjustment of Network Degree in Respondent-driven Sampling Estimators: Venue Attendance As a Proxy for Network Size Among Young MSM

Overview

Journal Soc Networks

Publisher Elsevier

Date 2018 Jun 19

PMID 29910531

Citations 14

Authors

Kayo Fujimoto

Ming Cao

Lisa M Kuhns

Dennis Li

John A Schneider

Affiliations

Soon will be listed here.

Abstract

We introduce a new venue-informed network degree measure, which we applied to respondent-driven sampling (RDS) estimators. Using data collected from 746 young MSM in 2014-2016 in Chicago, IL, and Houston, TX, we estimated the population seroprevalence of HIV and syphilis and risk/protective behaviors, using RDS estimates with self-reported network size as a standard degree measure as well as our proposed venue-informed degree measure. The results indicate that the venue-informed degree measure tended to be more efficient (smaller variance) and less biased than the other measure in both cities sampled. Venue attendance-adjusted network size may provide a more reliable and accurate degree measure for RDS estimates of the outcomes of interest.

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References

Liu H, Li J, Ha T, Li J . Assessment of Random Recruitment Assumption in Respondent-Driven Sampling in Egocentric Network Data. Soc Netw. 2013; 1(2):13-21. PMC: 3639432. DOI: 10.4236/sn.2012.12002. View

Klovdahl A . Social networks and the spread of infectious diseases: the AIDS example. Soc Sci Med. 1985; 21(11):1203-16. DOI: 10.1016/0277-9536(85)90269-2. View

Wejnert C . AN EMPIRICAL TEST OF RESPONDENT-DRIVEN SAMPLING: POINT ESTIMATES, VARIANCE, DEGREE MEASURES, AND OUT-OF-EQUILIBRIUM DATA. Sociol Methodol. 2010; 39(1):73-116. PMC: 2743108. DOI: 10.1111/j.1467-9531.2009.01216.x. View

Handcock M, Hunter D, Butts C, Goodreau S, Morris M . statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data. J Stat Softw. 2008; 24(1):1548-7660. PMC: 2447931. DOI: 10.18637/jss.v024.i01. View

Khanna A, Michaels S, Skaathun B, Morgan E, Green K, Young L . Preexposure Prophylaxis Awareness and Use in a Population-Based Sample of Young Black Men Who Have Sex With Men. JAMA Intern Med. 2015; 176(1):136-8. PMC: 4790097. DOI: 10.1001/jamainternmed.2015.6536. View

Li J, Valente T, Shin H, Weeks M, Zelenev A, Moothi G . Overlooked Threats to Respondent Driven Sampling Estimators: Peer Recruitment Reality, Degree Measures, and Random Selection Assumption. AIDS Behav. 2017; 22(7):2340-2359. PMC: 5745307. DOI: 10.1007/s10461-017-1827-1. View

Goodreau S, Cassels S, Kasprzyk D, Montano D, Greek A, Morris M . Concurrent partnerships, acute infection and HIV epidemic dynamics among young adults in Zimbabwe. AIDS Behav. 2010; 16(2):312-22. PMC: 3394592. DOI: 10.1007/s10461-010-9858-x. View

Reisner S, Mimiaga M, Johnson C, Bland S, Case P, Safren S . What makes a respondent-driven sampling "seed" productive? Example of finding at-risk Massachusetts men who have sex with men. J Urban Health. 2010; 87(3):467-79. PMC: 2871093. DOI: 10.1007/s11524-010-9439-3. View

Auerbach D, Darrow W, Jaffe H, Curran J . Cluster of cases of the acquired immune deficiency syndrome. Patients linked by sexual contact. Am J Med. 1984; 76(3):487-92. DOI: 10.1016/0002-9343(84)90668-5. View

10.

Rudolph A, Gaines T, Lozada R, Vera A, Brouwer K . Evaluating outcome-correlated recruitment and geographic recruitment bias in a respondent-driven sample of people who inject drugs in Tijuana, Mexico. AIDS Behav. 2014; 18(12):2325-37. PMC: 4401495. DOI: 10.1007/s10461-014-0838-4. View

11.

Kuhns L, Hotton A, Schneider J, Garofalo R, Fujimoto K . Use of Pre-exposure Prophylaxis (PrEP) in Young Men Who Have Sex with Men is Associated with Race, Sexual Risk Behavior and Peer Network Size. AIDS Behav. 2017; 21(5):1376-1382. PMC: 5415079. DOI: 10.1007/s10461-017-1739-0. View

12.

Salganik M . Commentary: Respondent-driven Sampling in the Real World. Epidemiology. 2011; 23(1):148-50. DOI: 10.1097/EDE.0b013e31823b6979. View

13.

Schneider J, Cornwell B, Ostrow D, Michaels S, Schumm P, Laumann E . Network mixing and network influences most linked to HIV infection and risk behavior in the HIV epidemic among black men who have sex with men. Am J Public Health. 2012; 103(1):e28-36. PMC: 3518367. DOI: 10.2105/AJPH.2012.301003. View

14.

Klovdahl A, Potterat J, Woodhouse D, Muth J, Muth S, Darrow W . Social networks and infectious disease: the Colorado Springs Study. Soc Sci Med. 1994; 38(1):79-88. DOI: 10.1016/0277-9536(94)90302-6. View

15.

McCreesh N, Frost S, Seeley J, Katongole J, Tarsh M, Ndunguse R . Evaluation of respondent-driven sampling. Epidemiology. 2011; 23(1):138-47. PMC: 3277908. DOI: 10.1097/EDE.0b013e31823ac17c. View

16.

Goel S, Salganik M . Assessing respondent-driven sampling. Proc Natl Acad Sci U S A. 2010; 107(15):6743-7. PMC: 2872407. DOI: 10.1073/pnas.1000261107. View

17.

Phillips 2nd G, Kuhns L, Garofalo R, Mustanski B . Do recruitment patterns of young men who have sex with men (YMSM) recruited through respondent-driven sampling (RDS) violate assumptions?. J Epidemiol Community Health. 2014; 68(12):1207-12. PMC: 4261691. DOI: 10.1136/jech-2014-204206. View

18.

Young A, Rudolph A, Su A, King L, Jent S, Havens J . Accuracy of name and age data provided about network members in a social network study of people who use drugs: implications for constructing sociometric networks. Ann Epidemiol. 2017; 26(11):802-809. PMC: 5283838. DOI: 10.1016/j.annepidem.2016.09.010. View

19.

Gile K, Handcock M . Respondent-Driven Sampling: An Assessment of Current Methodology. Sociol Methodol. 2012; 40(1):285-327. PMC: 3437336. DOI: 10.1111/j.1467-9531.2010.01223.x. View

20.

Tsang M, Schneider J, Sypsa V, Schumm P, Nikolopoulos G, Paraskevis D . Network Characteristics of People Who Inject Drugs Within a New HIV Epidemic Following Austerity in Athens, Greece. J Acquir Immune Defic Syndr. 2015; 69(4):499-508. PMC: 4484886. DOI: 10.1097/QAI.0000000000000665. View