References
- Bernard, H. R., Johnsen, E. C., Killworth, P. D., and Robinson, S. (1989), “Estimating the Size of an Average Personal Network and of an Event Subpopulation,” in The Small World, ed. M. Kochen, pp. 159–175, Norwood NJ: Ablex Press.
- Des Jarlais, D. C., Arasteh, K., Semaan, S., and Wood, E. (2009), “HIV among Injecting Drug Users: Current Epidemiology, Biologic Markers, Respondent-Driven Sampling, and Supervised-Injection Facilities,” Current Opinion in HIV and AIDS, 4, 308–313. DOI: 10.1097/COH.0b013e32832bbc6f.
- European Centre for Disease Prevention and Control/WHO Regional Office for Europe (2017), HIV/AIDS Surveillance in Europe 2017 – 2016 Data, Solna, Sweden: ECDC.
- Feehan, D. M., Son, V. H., and Abdul-Quader, A. (2021), “Survey Methods for Estimating the Size of Weak-Tie Personal Networks,” Technical Report.
- Gelman, A. (2004), “Parameterization and Bayesian Modeling,” Journal of the American Statistical Association, 99, 537–545.
- Gelman, A. (2006), “Prior Distributions for Variance Parameters in Hierarchical Models,” (Comment on Article by Browne and Draper), Bayesian Analysis, 1, 515–534.
- Gelman, A., Van Dyk, D. A., Huang, Z., and Boscardin, J. W. (2008), “Using Redundant Parameterizations to Fit Hierarchical Models,” Journal of Computational and Graphical Statistics, 17, 95–122.
- Killworth, P. D., Johnsen, E. C., McCarty, C., Shelley, G. A., and Bernard, H. R. (1998a), “A Social Network Approach to Estimating Seroprevalence in the United States,” Social Networks, 20, 23–50.
- Killworth, P. D., McCarty, C., Bernard, H. R., Shelley, G. A., and Johnsen, E. C. (1998b), “Estimation of Seroprevalence, Rape, and Homelessness in the United States using a Social Network Approach,” Evaluation Review, 22, 289–308.
- Laga, I., Bao, L., and Niu, X. (2021), “Thirty Years of the Network Scale-Up Method,” Journal of the American Statistical Association, 116, 1548–1559.
- Laga, I., Bao, L., and Niu, X. (2022), networkscaleup: Network Scale-Up Models for Aggregated Relational Data. R package version 0.1-1.
- Liu, C. (2003), “Alternating Subspace-Spanning Resampling to Accelerate Markov Chain Monte Carlo Simulation,” Journal of the American Statistical Association, 98, 110–117.
- Liu, D., and Zhang, H. (2018), “Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach,” Journal of the American Statistical Association, 113, 845–854.
- Maltiel, R., Raftery, A. E., McCormick, T. H., and Baraff, A. J. (2015), “Estimating Population Size Using the Network Scale Up Method,” The Annals of Applied Statistics, 9, 1247–1277.
- McCarty, C., Killworth, P. D., Bernard, H. R., Johnsen, E. C., and Shelley, G. A. (2001), “Comparing Two Methods for Estimating Network Size,” Human Organization, 60, 28–39.
- Paniotto, V., Petrenko, T., Kupriyanov, O., and Pakhok, O. (2009), Estimating the Size of Populations with High Risk for HIV using the Network Scale-Up Method, Ukraine: Kiev International Institute of Sociology.
- Salganik, M. J., Mello, M. B., Abdo, A. H., Bertoni, N., Fazito, D., and Bastos, F. I. (2011), “The Game of Contacts: Estimating the Social Visibility of Groups,” Social Networks, 33, 70–78. DOI: 10.1016/j.socnet.2010.10.006.
- Stan Development Team (2019), RStan: the R interface to Stan. R package version 2.19.2.
- Teo, A. K. J., Prem, K., Chen, M. I., Roellin, A., Wong, M. L., La, H. H., and Cook, A. R. (2019), “Estimating the Size of Key Populations for HIV in Singapore using the Network Scale-Up Method,” Sexually Transmitted Infections, 95, 602–607.
- UNAIDS and WHO (2010), Guidelines on Estimating the Size of Populations Most at Risk to HIV, p. 51, Geneva, Switzerland: World Health Organization.
- Van Dyk, D. A., and Meng, X.-L. (2001), “The Art of Data Augmentation,” Journal of Computational and Graphical Statistics, 10, 1–50.
- World Health Organization and others (2011), “Global HIV/AIDS Response: Epidemic Udate and Health Sector Progress towards Universal Access: Progress Report 2011.”
- World Health Organization and others (2016), “Consolidated Guidelines on HIV Prevention, Diagnosis, Treatment and Care for Key Populations.”
- Zheng, T., Salganik, M. J., and Gelman, A. (2006), “How Many People do you know in Prison? Using Overdispersion in Count Data to Estimate Social Structure in Networks,” Journal of the American Statistical Association, 101, 409–423.