Further Reading
- Boudreau, L., Heath, R., McCormick, T. H., and Visokay, A. 2023. Randomized respondent-driven sampling: A cellphone-based approach to sampling in disaster settings. Working Paper, University of Washington.
- Crawford, F. W., Wu, J., and Heimer, R. 2018. Hidden population size estimation from respondent-driven sampling: a network approach. Journal of the American Statistical Association 113:755–766.
- Gile, K. J. and Handcock, M. S. 2010. Respondent-driven sampling: an assessment of current methodology. Sociological Methodology 40:285–327.
- Handcock, M. S., Gile, K. J., and Mar, C. M. 2014. Estimating hidden population size using respondent-driven sampling data. Electronic Journal of Statistics 8:1491.
- Mouw, T., and Verdery, A. M. 2012. Network sampling with memory: A proposal for more efficient sampling from social networks. Sociological Methodology 42:206–256.
- Salganik, M. J., and Heckathorn, D. D. 2004. Sampling and estimation in hidden populations using respondent-driven sampling. Sociological Methodology 34:193–240.
- Schroeder, E., Edgemon, T. G., Aletraris, L., Kagotho, N., Clay-Warner, J., and Okech, D. 2022. A review of prevalence estimation methods for human trafficking populations. Public Health Reports 137:46S–52S.
- Simic, M., Johnston, L. G., Platt, L., Baros, S., Andjelkovic, V., Novotny, T., and Rhodes, T. 2006. Exploring barriers to “respondent-driven sampling” in sex worker and drug-injecting sex worker populations in Eastern Europe. Journal of Urban Health 83:6–15.