Cite
Identification and validation of a multi-assay algorithm for cross-sectional HIV incidence estimation in populations with subtype C infection.
MLA
Laeyendecker, Oliver, et al. “Identification and Validation of a Multi-Assay Algorithm for Cross-Sectional HIV Incidence Estimation in Populations with Subtype C Infection.” Journal of the International AIDS Society, vol. 21, no. 2, Feb. 2018, p. 1–N.PAG. EBSCOhost, https://doi.org/10.1002/jia2.25082.
APA
Laeyendecker, O., Konikoff, J., Morrison, D. E., Brookmeyer, R., Wang, J., Celum, C., Morrison, C. S., Abdool Karim, Q., Pettifor, A. E., & Eshleman, S. H. (2018). Identification and validation of a multi-assay algorithm for cross-sectional HIV incidence estimation in populations with subtype C infection. Journal of the International AIDS Society, 21(2), 1–N.PAG. https://doi.org/10.1002/jia2.25082
Chicago
Laeyendecker, Oliver, Jacob Konikoff, Douglas E Morrison, Ronald Brookmeyer, Jing Wang, Connie Celum, Charles S Morrison, Quarraisha Abdool Karim, Audrey E Pettifor, and Susan H Eshleman. 2018. “Identification and Validation of a Multi-Assay Algorithm for Cross-Sectional HIV Incidence Estimation in Populations with Subtype C Infection.” Journal of the International AIDS Society 21 (2): 1–N.PAG. doi:10.1002/jia2.25082.