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RESPONDENT-DRIVEN SAMPLING AS MARKOV CHAIN MONTE CARLO
Respondent-driven sampling (RDS) is a recently introduced, and now widely used, technique for estimating disease prevalence in hidden populations. RDS data are collected through a snowball mechanism, in which current sample members recruit future sample members. In this paper we present respondent-d...
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| Main Authors: | , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2009
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3684629/ https://ncbi.nlm.nih.gov/pubmed/19572381 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.3613 |
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