Hidden population size estimation from respondent-driven sampling: a network approach

Keywords

Inference, Population size, Population, Respondent, Statistics

References

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• Generalizing the Network Scale-Up Method: A New Estimator for the Size of Hidden PopulationsDennis M. Feehan, Matthew Salganik — 2014
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• NONPARAMETRIC INFERENCE UNDER BIASED SAMPLING FROM A FINITE POPULATIONPeter J. Bickel, Vijayan N. Nair, Paul C. C. Wang — 1992
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Cited by

• One-step estimation of networked population size: Respondent-driven capture-recapture with anonymityJohanna Adriana Dieleman — 2017
• Generalizing the Network Scale-Up Method: A New Estimator for the Size of Hidden PopulationsDennis M. Feehan, Matthew Salganik — 2014
• Estimating the Size and Distribution of Networked Populations with Snowball SamplingKyle Vincent, Steve Thompson — 2014
• Estimating uncertainty in respondent-driven sampling using a tree bootstrap methodAaron Baraff, Tyler H. McCormick, Adrian E. Raftery — 2016
• Methods for Inference from Respondent-Driven Sampling DataKrista J. Gile, Isabelle S. Beaudry, Mark S. Handcock — 2018
• Minimum distance estimators of population size from snowball samples using conditional estimation and scaling of exponential random graph modelsDavid A. Rolls, Garry Robins — 2017
• Using data from respondent-driven sampling studies to estimate the number of people who inject drugs: Application to the Kohtla-Järve region of EstoniaJiacheng Wu, Forrest W. Crawford, Mait Raag — 2017
• Simple estimators for network samplingSteve Thompson — 2018
• An Advanced Mechanism for Software Size Estimation Using Combinational Artificial IntelligenceVarinder Kaur Attri, Jatinder Singh Bal — 2019
• The Impact of Parental Support on the Health Behaviors of Transgender Young AdultsJill Hingston — 2019
• Design-adherent estimators for network surveysSteve Thompson — 2019
• A review of network simulation models of hepatitis C virus and HIV among people who inject drugsMeghan Bellerose, Lin Zhu, Liesl M. Hagan — 2019
• Improving Underestimation of HIV Prevalence in Surveys Using Time-Location SamplingAna B. Barros, Maria do Rosário Oliveira Martins — 2020
• Estimating the size of a hidden finite set: Large-sample behavior of estimatorsSi Cheng, Daniel J. Eck, Forrest W. Crawford — 2018
• Bias reduction in the population size estimation of large data setsJeffrey Chu, Yuanyuan Zhang, Stephen Chan — 2020
• Population Size Estimation Using Multiple Respondent-Driven Sampling Surveys.Brian Kim, Mark S. Handcock — 2019
• New estimates for network samplingSteve Thompson — 2020
• Measuring Separation of Children from their Usual Caregivers in Humanitarian Contexts: The case for a holistic approach to measurement, with implications for practiceH. Mansourian — 2020
• Estimating the burden of the opioid epidemic for adults and adolescents in Ohio countiesDavid Kline, Staci A. Hepler — 2020
• Combining Cluster Sampling and Link-Tracing Sampling to Estimate Totals and Means of Hidden Populations in Presence of Heterogeneous Probabilities of LinksMart ́ õn, H. Felix-Medina — 2020

Related papers

• On the use of linear models in the estimation of the size of a population using capture–recapture dataRichard Huggins — 2007
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• A GEE approach for estimating size of hard-to-reach population by using capture–recapture dataShenghai Zhang — 2012
• Estimating the population size with a behavioral response in capture-recapture experimentW En-Han H Wa — 2000
• Marked Cards in the Pack: Using Playing Cards to Teach the Importance of Sample Size & Testing Assumptions in Capture–Recapture Estimations of Population SizeMike Calver, Timothy R. Blake — 2020
• ESTIMATING POPULATION SIZE FROM CAPTURE‐RECAPTURE EXPERIMENTS IN CONTINUOUS TIMENiels G. Becker — 1984
• Testing the effectiveness of capture mark recapture population estimation techniques using a computer simulation with known population sizeSamuel G. Rees, Anne E. Goodenough, Adam G. Hart — 2011