Swart, A.; Maas, M.; de Vries, A.; Cuperus, T.; Opsteegh, M.
Bayesian Binary Mixture Models as a Flexible Alternative to Cut-Off Analysis of ELISA Results, a Case Study of Seoul Orthohantavirus. Viruses 2021, 13, 1155.
https://doi.org/10.3390/v13061155
AMA Style
Swart A, Maas M, de Vries A, Cuperus T, Opsteegh M.
Bayesian Binary Mixture Models as a Flexible Alternative to Cut-Off Analysis of ELISA Results, a Case Study of Seoul Orthohantavirus. Viruses. 2021; 13(6):1155.
https://doi.org/10.3390/v13061155
Chicago/Turabian Style
Swart, Arno, Miriam Maas, Ankje de Vries, Tryntsje Cuperus, and Marieke Opsteegh.
2021. "Bayesian Binary Mixture Models as a Flexible Alternative to Cut-Off Analysis of ELISA Results, a Case Study of Seoul Orthohantavirus" Viruses 13, no. 6: 1155.
https://doi.org/10.3390/v13061155
APA Style
Swart, A., Maas, M., de Vries, A., Cuperus, T., & Opsteegh, M.
(2021). Bayesian Binary Mixture Models as a Flexible Alternative to Cut-Off Analysis of ELISA Results, a Case Study of Seoul Orthohantavirus. Viruses, 13(6), 1155.
https://doi.org/10.3390/v13061155