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Generalizing the Network Scale-up Method
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/sim.3613openalex-snapshot
Respondent‐driven sampling as Markov chain Monte Carlo
inferredcites →https://doi.org/10.1007/978-0-387-98141-3openalex-snapshot
ggplot2: Elegant Graphics for Data Analysis
inferredcites →https://doi.org/10.1007/978-1-4612-4378-6openalex-snapshot
Model Assisted Survey Sampling
inferredcites →https://doi.org/10.1007/978-1-4899-4541-9openalex-snapshot
An Introduction to the Bootstrap
inferredcites →https://doi.org/10.1007/s10461-005-9030-1openalex-snapshot
Critical Issues and Further Questions About Respondent-Driven Sampling: Comment on Ramirez-Valles, et al. (2005)
inferredcites →https://doi.org/10.1007/s10461-013-0451-yopenalex-snapshot
The Importance of Measuring and Accounting for Potential Biases in Respondent-Driven Samples
inferredcites →https://doi.org/10.1007/s11524-006-9106-xopenalex-snapshot
Variance Estimation, Design Effects, and Sample Size Calculations for Respondent-Driven Sampling
inferredcites →https://doi.org/10.1007/s11524-012-9676-8openalex-snapshot
Statistical Methods for the Analysis of Time–Location Sampling Data
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If You Are Not Counted, You Don’t Count: Estimating the Number of African-American Men Who Have Sex with Men in San Francisco Using a Novel Bayesian Approach
inferredcites →https://doi.org/10.1007/s12561-012-9059-4openalex-snapshot
Surveying Hard-to-Reach Groups Through Sampled Respondents in a Social Network
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Estimating the size of an average personal network and of an event subpopulation: Some empirical results
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Who knows your HIV status? What HIV + patients and their network members know about each other
inferredcites →https://doi.org/10.1016/j.drugalcdep.2012.05.036openalex-snapshot
Respondent driven sampling and community structure in a population of injecting drug users, Bristol, UK
inferredcites →https://doi.org/10.1016/j.drugpo.2007.11.014openalex-snapshot
“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
inferredcites →https://doi.org/10.1016/j.drugpo.2016.01.013openalex-snapshot
National population size estimation of illicit drug users through the network scale-up method in 2013 in Iran
inferredcites →https://doi.org/10.1016/j.jclinepi.2015.04.002openalex-snapshot
Strengthening the Reporting of Observational Studies in Epidemiology for respondent-driven sampling studies: “STROBE-RDS” statement
inferredcites →https://doi.org/10.1016/j.socnet.2007.03.003openalex-snapshot
Use of the scale-up methods in injury prevention research: An empirical assessment to the case of choking in children
inferredcites →https://doi.org/10.1016/j.socnet.2010.10.006openalex-snapshot
The game of contacts: Estimating the social visibility of groups
inferredcites →https://doi.org/10.1016/s0378-8733(02)00040-0openalex-snapshot
Two interpretations of reports of knowledge of subpopulation sizes
inferredcites →https://doi.org/10.1016/s0378-8733(96)00305-xopenalex-snapshot
A social network approach to estimating seroprevalence in the United States
inferredcites →https://doi.org/10.1037//0022-3514.75.2.332openalex-snapshot
The illusion of transparency: Biased assessments of others' ability to read one's emotional states.
inferredcites →https://doi.org/10.1037/0022-3514.75.2.332openalex-snapshot
The illusion of transparency: Biased assessments of others' ability to read one's emotional states.
inferredcites →https://doi.org/10.1037/a0020697openalex-snapshot
Real and perceived attitude agreement in social networks.
inferredcites →https://doi.org/10.1073/pnas.1000261107openalex-snapshot
Assessing respondent-driven sampling
inferredcites →https://doi.org/10.1080/01621459.1970.10481077openalex-snapshot
Household Surveys with Multiplicity
inferredcites →https://doi.org/10.1080/01621459.1988.10478591openalex-snapshot
Resampling Inference With Complex Survey Data
inferredcites →https://doi.org/10.1080/01621459.2017.1285775openalex-snapshot
Hidden Population Size Estimation From Respondent-Driven Sampling: A Network Approach
inferredcites →https://doi.org/10.1086/226141openalex-snapshot
Social Structure from Multiple Networks. I. Blockmodels of Roles and Positions
inferredcites →https://doi.org/10.1093/aje/kwr246openalex-snapshot
Assessing Network Scale-up Estimates for Groups Most at Risk of HIV/AIDS: Evidence From a Multiple-Method Study of Heavy Drug Users in Curitiba, Brazil
inferredcites →https://doi.org/10.1097/ede.0000000000000362openalex-snapshot
Estimating the Size of Hidden Populations Using Respondent-driven Sampling Data
inferredcites →https://doi.org/10.1097/ede.0b013e31823ac17copenalex-snapshot
Evaluation of Respondent-driven Sampling
inferredcites →https://doi.org/10.1097/qad.0b013e32833d207dopenalex-snapshot
Global HIV surveillance among MSM: is risk behavior seriously underestimated?
inferredcites →https://doi.org/10.1109/jsac.2011.111005openalex-snapshot
Towards Unbiased BFS Sampling
inferredcites →https://doi.org/10.1111/biom.12255openalex-snapshot
Estimating the Size of Populations at High Risk for HIV Using Respondent-Driven Sampling Data
inferredcites →https://doi.org/10.1111/biom.12678openalex-snapshot
Modeling and Analyzing Respondent-Driven Sampling as a Counting Process
inferredcites →https://doi.org/10.1111/j.1467-9531.2010.01223.xopenalex-snapshot
7. Respondent-Driven Sampling: An Assessment of Current Methodology
inferredcites →https://doi.org/10.1111/rssa.12059openalex-snapshot
Diagnostics for Respondent-Driven Sampling
inferredcites →https://doi.org/10.1111/rssa.12091openalex-snapshot
Network Model-Assisted Inference from Respondent-Driven Sampling Data
inferredcites →https://doi.org/10.1136/sti.2010.044446openalex-snapshot
Counting hard-to-count populations: the network scale-up method for public health
inferredcites →https://doi.org/10.1177/002204260603600209openalex-snapshot
Scale-Up Methods as Applied to Estimates of Heroin use
inferredcites →https://doi.org/10.1177/0049124106289160openalex-snapshot
Investigating the Variation of Personal Network Size Under Unknown Error Conditions
inferredcites →https://doi.org/10.1177/0049124109346163openalex-snapshot
Question Order and Interviewer Effects in CATI Scale-up Surveys
inferredcites →https://doi.org/10.1177/0049124113494576openalex-snapshot
An Empirical Analysis of the Impact of Recruitment Patterns on RDS Estimates among a Socially Ordered Population of Female Sex Workers in China
inferredcites →https://doi.org/10.1177/0081175012461248openalex-snapshot
Network Sampling with Memory
inferredcites →https://doi.org/10.1177/0193841x9802200205openalex-snapshot
Estimation of Seroprevalence, Rape, and Homelessness in the United States Using a Social Network Approach
inferredcites →https://doi.org/10.1177/096228029600500305openalex-snapshot
Variance estimation for complex surveys using replication techniques
inferredcites →https://doi.org/10.1198/016214505000001168openalex-snapshot
How Many People Do You Know in Prison?
inferredcites →https://doi.org/10.1198/jasa.2009.ap08518openalex-snapshot
How Many People Do You Know?: Efficiently Estimating Personal Network Size
inferredcites →https://doi.org/10.1214/14-ejs923openalex-snapshot
Estimating hidden population size using Respondent-Driven Sampling data
inferredcites →https://doi.org/10.1214/15-aoas827openalex-snapshot
Estimating population size using the network scale up method
inferredcites →https://doi.org/10.1214/ss/1063994974openalex-snapshot
Impact of the Bootstrap on Sample Surveys
inferredcites →https://doi.org/10.13183/jcrg.v3i1.80openalex-snapshot
Size Estimation of Most-at-Risk Groups of HIV/AIDS Using Network Scale-up in Tabriz, Iran
inferredcites →https://doi.org/10.1371/journal.pone.0031184openalex-snapshot
Population Size Estimation of Men Who Have Sex with Men through the Network Scale-Up Method in Japan
inferredcites →https://doi.org/10.1371/journal.pone.0071796openalex-snapshot
Estimating the Size of HIV Key Affected Populations in Chongqing, China, Using the Network Scale-Up Method
inferredcites →https://doi.org/10.1371/journal.pone.0095601openalex-snapshot
Estimating the Sizes of Populations at High Risk for HIV: A Comparison Study
inferredcites →https://doi.org/10.1371/journal.pone.0110917openalex-snapshot
Network Scale-Up Correction Factors for Population Size Estimation of People Who Inject Drugs and Female Sex Workers in Iran
inferredcites →https://doi.org/10.1371/journal.pone.0143118openalex-snapshot
Application of Network Scale Up Method in the Estimation of Population Size for Men Who Have Sex with Men in Shanghai, China
inferredcites →https://doi.org/10.1371/journal.pone.0145296openalex-snapshot
Network Structure and Biased Variance Estimation in Respondent Driven Sampling
inferredcites →https://doi.org/10.1371/journal.pone.0147413openalex-snapshot
Population Size Estimation of Men Who Have Sex with Men in Tbilisi, Georgia; Multiple Methods and Triangulation of Findings
inferredcites →https://doi.org/10.17730/humo.60.1.efx5t9gjtgmga73yopenalex-snapshot
Comparing Two Methods for Estimating Network Size
inferredcites →https://doi.org/10.17730/humo.65.4.08mwg9d3nfy8w9thopenalex-snapshot
Who Knows Your HIV Status II?: Information Propagation Within Social Networks of Seropositive People
inferredcites →https://doi.org/10.18637/jss.v040.i01openalex-snapshot
The Split-Apply-Combine Strategy for Data Analysis
inferredcites →https://doi.org/10.2307/2786634openalex-snapshot
Friends of Urban Men: An Assessment of Accuracy in Reporting Their Socioeconomic Attributes, Mutual Choice, and Attitude Agreement
inferredcites →https://doi.org/10.2307/3096941openalex-snapshot
Respondent-Driven Sampling: A New Approach to the Study of Hidden Populations
inferredcites →https://doi.org/10.3109/14659891.2014.942401openalex-snapshot
Comparing direct, network scale-up, and proxy respondent methods in estimating risky behaviors among collegians
inferredcites →https://doi.org/10.32614/cran.package.functionalopenalex-snapshot
functional: Curry, Compose, and Other Higher-Order Functions
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3390/ijerph9114056openalex-snapshot
Scale-Up Approach in CATI Surveys for Estimating the Number of Foreign Body Injuries in the Aero-Digestive Tract in Children
inferredcites →https://doi.org/10.48550/arxiv.1304.3505openalex-snapshot
Modeling and Analysing Respondent Driven Sampling as a Counting Process
inferredcites →https://doi.org/10.48550/arxiv.1309.5109openalex-snapshot
Network Structure and Biased Variance Estimation in Respondent Driven Sampling
inferredcites →https://doi.org/10.48550/arxiv.1505.05461openalex-snapshot
Network driven sampling; a critical threshold for design effects
inferredcites →https://doi.org/10.5860/choice.30-0348openalex-snapshot
Model assisted survey sampling
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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The Network Labeling Optimization for Hidden Population Size Estimation: A Case Solution for the Bangladesh Kidney Sellers Problem
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The Network Survival Method for Estimating Adult Mortality: Evidence From a Survey Experiment in Rwanda
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Using an Online Sample to Estimate the Size of an Offline Population
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Scale-Up Studies in Pharmaceutical Products Development
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Accounting for correlation and censoring in Bayesian Network Scale-up Method Models
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Robust network scale-up method estimators
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Estimating unknown populations from informant reports using scale-up reference groups and capture-recapture inference
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From hidden populations to social structure: Evolution of the Network Scale-Up Method, Aggregated Relational Data, and their applications
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Network scale-up methods on aggregated relational data to estimate the outcome of elections
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Performance Analysis of NSUM Estimators in Social-Network Topologies
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Hidden Population Size Estimation From Respondent-Driven Sampling: A Network Approach
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Thirty Years of The Network Scale-up Method
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Progress and Challenges in Human Trafficking Research: Two Decades after the Palermo Protocol
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Quantity Versus Quality: A Survey Experiment to Improve the Network Scale-up Method
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An Empirical Comparison of a Traditional Strategy and Network Scale-Up Method for Prevalence Estimation of Child Trafficking in Sierra Leone
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Additional file 1 of Social network-based measurement of abortion incidence: promising findings from population-based surveys in Nigeria, Cote d’Ivoire, and Rajasthan, India
inferred← citeshttps://doi.org/10.6084/m9.figshare.13115226openalex-snapshot
Additional file 2 of Social network-based measurement of abortion incidence: promising findings from population-based surveys in Nigeria, Cote d’Ivoire, and Rajasthan, India
inferred← citeshttps://doi.org/10.6084/m9.figshare.13115229openalex-snapshot
Additional file 3 of Social network-based measurement of abortion incidence: promising findings from population-based surveys in Nigeria, Cote d’Ivoire, and Rajasthan, India
inferred← citeshttps://doi.org/10.6084/m9.figshare.13115232openalex-snapshot
Additional file 4 of Social network-based measurement of abortion incidence: promising findings from population-based surveys in Nigeria, Cote d’Ivoire, and Rajasthan, India
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