Bayesian adaptive algorithms for locating HIV mobile testing services-Reference-Cited by-同舟云学术

Bayesian adaptive algorithms for locating HIV mobile testing services

Published:2018-09-03 Issue:1 Volume:16 Page:
ISSN:1741-7015
Container-title:BMC Medicine
language:en
Short-container-title:BMC Med

Author:

Gonsalves Gregg S.^ORCID,Copple J. Tyler,Johnson Tyler,Paltiel A. David,Warren Joshua L.

Funder

National Institute on Drug Abuse

National Institute of Mental Health

Laura and John Arnold Foundation

Agence Nationale de la Recherche

National Center for Advancing Translational Sciences

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

http://link.springer.com/content/pdf/10.1186/s12916-018-1129-0.pdf

Reference25 articles.

1. HIV.gov. The Global AIDS Epidemic. Global HIV/AIDS Overview. 2017. https://www.hiv.gov/federal-response/pepfar-global-aids/global-hiv-aids-overview . Accessed 19 Mar 2018.

2. Joint United Nations Programme on HIV/AIDS (UNAIDS). UNAIDS Data 2017. Geneva: UNAIDS; 2017. http://www.unaids.org/sites/default/files/media_asset/20170720_Data_book_2017_en.pdf . Accessed 19 Mar 2018

3. Gonsalves GS, Crawford FW, Cleary PD, Kaplan EH, Paltiel AD. An adaptive approach to locating mobile HIV testing services. Med Decis Mak. 2018;38:262.

4. Gigerenzer G, Todd PM, The ABC Research Group. Simple Heuristics that Make us Smart. Oxford: Oxford University Press; 1999.

5. Robbins H. Some Aspects of the Sequential Design of Experiments. New York: Springer; 1985. p. 169–177.

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