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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Detalles Bibliográficos
Autores principales: Zhu, Lin, Menzies, Nicolas A., Wang, Jianing, Linas, Benjamin P., Goodreau, Steven M., Salomon, Joshua A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156755/
https://www.ncbi.nlm.nih.gov/pubmed/32286412
http://dx.doi.org/10.1038/s41598-020-63269-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156755/
https://www.ncbi.nlm.nih.gov/pubmed/32286412
http://dx.doi.org/10.1038/s41598-020-63269-0

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