Author Details

Lane, H. Clifford, National Institute of Allergy and Infectious Diseases, Bethesda, United States

Vol 17, No 1 (2016) - Original Research
Computational models as predictors of HIV treatment outcomes for the Phidisa cohort in South Africa
Abstract HTML EPUB XML PDF

African Online Scientific Information Systems (Pty) Ltd t/a AOSIS
Reg No: 2002/002017/07
International Tel: +27 21 975 2602
5 Hafele Street, Durbanville, Cape Town, 7550, South Africa
publishing(AT)aosis.co.za replace (AT) with @

All articles published in this journal are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, unless otherwise stated.
Website design & content: ©2024 AOSIS (Pty) Ltd. All rights reserved. No unauthorised duplication allowed.
By continuing to use this website, you agree to our Privacy Policy, Terms of Use and Security Policy.

________

Subscribe to our newsletter

Get specific, domain-collection newsletters detailing the latest CPD courses, scholarly research and call-for-papers in your field.

Southern African Journal of HIV Medicine | ISSN: 1608-9693 (PRINT) | ISSN: 2078-6751 (ONLINE)