Modeling and analyzing respondent-driven sampling as a counting process.

@article{Berchenko2017ModelingAA,
  title={Modeling and analyzing respondent-driven sampling as a counting process.},
  author={Y. Berchenko and Jonathan D. Rosenblatt and S. Frost},
  journal={Biometrics},
  year={2017},
  volume={73 4},
  pages={
          1189-1198
        }
}
  • Y. Berchenko, Jonathan D. Rosenblatt, S. Frost
  • Published 2017
  • Mathematics, Medicine
  • Biometrics
  • Respondent-driven sampling (RDS) is an approach to sampling design and analysis which utilizes the networks of social relationships that connect members of the target population, using chain-referral. RDS sampling will typically oversample participants with many acquaintances. Naïve estimators, such as the sample average, will thus be biased towards the state of the most highly connected individuals. Current methodology cannot estimate population size from RDS, and promotes inverse probability… CONTINUE READING

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