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Roch S, Rohe K. Generalized least squares can overcome the critical threshold in respondent-driven sampling. Proc Natl Acad Sci U S A. 2018;115(41):10299-10304doi: 10.1073/pnas.1706699115.
Roch, S., & Rohe, K. (2018). Generalized least squares can overcome the critical threshold in respondent-driven sampling. Proceedings of the National Academy of Sciences of the United States of America, 115(41), 10299-10304. https://doi.org/10.1073/pnas.1706699115
Roch, Sebastien, and Rohe, Karl. "Generalized least squares can overcome the critical threshold in respondent-driven sampling." Proceedings of the National Academy of Sciences of the United States of America vol. 115,41 (2018): 10299-10304. doi: https://doi.org/10.1073/pnas.1706699115
Roch S, Rohe K. Generalized least squares can overcome the critical threshold in respondent-driven sampling. Proc Natl Acad Sci U S A. 2018 Oct 09;115(41):10299-10304. doi: 10.1073/pnas.1706699115. Epub 2018 Sep 25. PMID: 30254152; PMCID: PMC6187121.
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