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Estimation and correction of bias in network simulations based on respondent-driven sampling data
Respondent-driven sampling (RDS) is widely used for collecting data on hard-to-reach populations, including information about the structure of the networks connecting the individuals. Characterizing network features can be important for designing and evaluating health programs, particularly those th...
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| Опубликовано в: : | Sci Rep |
|---|---|
| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Publishing Group UK
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7156755/ https://ncbi.nlm.nih.gov/pubmed/32286412 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-63269-0 |
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