Validation of an algorithm to identify antiretroviral-naïve status at time of entry into a large, observational cohort of HIV-infected patients.

MLA

Gandhi, Neel R., et al. “Validation of an Algorithm to Identify Antiretroviral-Naïve Status at Time of Entry into a Large, Observational Cohort of HIV-Infected Patients.” Pharmacoepidemiology and Drug Safety, vol. 22, no. 9, Sept. 2013, pp. 1019–25. EBSCOhost, https://doi.org/10.1002/pds.3476.

APA

Gandhi, N. R., Tate, J. P., Rodriguez-Barradas, M. C., Rimland, D., Goetz, M. B., Gibert, C., Brown, S. T., Mattocks, K., & Justice, A. C. (2013). Validation of an algorithm to identify antiretroviral-naïve status at time of entry into a large, observational cohort of HIV-infected patients. Pharmacoepidemiology and Drug Safety, 22(9), 1019–1025. https://doi.org/10.1002/pds.3476

Chicago

Gandhi, Neel R, Janet P Tate, Maria C Rodriguez-Barradas, David Rimland, Matthew Bidwell Goetz, Cynthia Gibert, Sheldon T Brown, Kristin Mattocks, and Amy C Justice. 2013. “Validation of an Algorithm to Identify Antiretroviral-Naïve Status at Time of Entry into a Large, Observational Cohort of HIV-Infected Patients.” Pharmacoepidemiology and Drug Safety 22 (9): 1019–25. doi:10.1002/pds.3476.