Statistical adjustment of network degree in respondent-driven sampling estimators: Venue attendance as a proxy for network size among young MSM

Kayo Fujimoto; Ming Cao; Lisa M. Kuhns; Dennis Li; John A. Schneider

doi:10.1016/j.socnet.2018.01.003

Statistical adjustment of network degree in respondent-driven sampling estimators: Venue attendance as a proxy for network size among young MSM

Kayo Fujimoto^*, Ming Cao, Lisa M. Kuhns, Dennis Li, John A. Schneider

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

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.

Original language	English (US)
Pages (from-to)	118-131
Number of pages	14
Journal	Social Networks
Volume	54
DOIs	https://doi.org/10.1016/j.socnet.2018.01.003
State	Published - Jul 2018

Keywords

HIV/STI
Pre-exposure prophylaxis (PrEP)
Respondent-driven sampling method (RDS)
Sexually transmitted infections
Two-mode affiliation networks
Venue affiliation
Young men who have sex with men (MSM)
sexual and drug use behavior

ASJC Scopus subject areas

Social Sciences(all)
Psychology(all)
Anthropology
Sociology and Political Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.socnet.2018.01.003

Cite this

@article{778a7988754f4cff9ebd2708401659f1,

title = "Statistical adjustment of network degree in respondent-driven sampling estimators: Venue attendance as a proxy for network size among young MSM",

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.",

keywords = "HIV/STI, Pre-exposure prophylaxis (PrEP), Respondent-driven sampling method (RDS), Sexually transmitted infections, Two-mode affiliation networks, Venue affiliation, Young men who have sex with men (MSM), sexual and drug use behavior",

author = "Kayo Fujimoto and Ming Cao and Kuhns, {Lisa M.} and Dennis Li and Schneider, {John A.}",

note = "Funding Information: This work was supported by the National Institutes of Health ( 1R01MH100021 , 1R01DA039934 , and 1R21GM113694 ). The co-first-author Ming Cao is supported by UTHealth Innovation for Cancer Prevention Research Training Program Pre-doctoral Fellowship (Cancer Prevention and Research Institute of Texas grant # RP160015 ). The content is solely the responsibility of the authors and does not necessarily represent the official views of NIH or the Cancer Prevention and Research Institute of Texas. We also acknowledge Ju Yeong Kim, Jing Zhao, and the YMAP staff for data collection. Conflict of interest: None declared Publisher Copyright: {\textcopyright} 2018 Elsevier B.V.",

year = "2018",

month = jul,

doi = "10.1016/j.socnet.2018.01.003",

language = "English (US)",

volume = "54",

pages = "118--131",

journal = "Social Networks",

issn = "0378-8733",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Statistical adjustment of network degree in respondent-driven sampling estimators

T2 - Venue attendance as a proxy for network size among young MSM

AU - Fujimoto, Kayo

AU - Cao, Ming

AU - Kuhns, Lisa M.

AU - Li, Dennis

AU - Schneider, John A.

N1 - Funding Information: This work was supported by the National Institutes of Health ( 1R01MH100021 , 1R01DA039934 , and 1R21GM113694 ). The co-first-author Ming Cao is supported by UTHealth Innovation for Cancer Prevention Research Training Program Pre-doctoral Fellowship (Cancer Prevention and Research Institute of Texas grant # RP160015 ). The content is solely the responsibility of the authors and does not necessarily represent the official views of NIH or the Cancer Prevention and Research Institute of Texas. We also acknowledge Ju Yeong Kim, Jing Zhao, and the YMAP staff for data collection. Conflict of interest: None declared Publisher Copyright: © 2018 Elsevier B.V.

PY - 2018/7

Y1 - 2018/7

N2 - 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.

AB - 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.

KW - HIV/STI

KW - Pre-exposure prophylaxis (PrEP)

KW - Respondent-driven sampling method (RDS)

KW - Sexually transmitted infections

KW - Two-mode affiliation networks

KW - Venue affiliation

KW - Young men who have sex with men (MSM)

KW - sexual and drug use behavior

UR - http://www.scopus.com/inward/record.url?scp=85044666254&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85044666254&partnerID=8YFLogxK

U2 - 10.1016/j.socnet.2018.01.003

DO - 10.1016/j.socnet.2018.01.003

M3 - Article

C2 - 29910531

AN - SCOPUS:85044666254

SN - 0378-8733

VL - 54

SP - 118

EP - 131

JO - Social Networks

JF - Social Networks

ER -

Statistical adjustment of network degree in respondent-driven sampling estimators: Venue attendance as a proxy for network size among young MSM

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this