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IJE Advance Access originally published online on January 8, 2007
International Journal of Epidemiology 2007 36(2):294-301; doi:10.1093/ije/dyl286
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Published by Oxford University Press on behalf of the International Epidemiological Association © The Author 2007; all rights reserved.

Cohort Profile: The North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD)

Stephen J Gange, Mari M Kitahata, Michael S Saag, David R Bangsberg, Ronald J Bosch, John T Brooks, Liviana Calzavara, Steven G Deeks, Joseph J Eron, Kelly A Gebo, M John Gill, David W Haas, Robert S Hogg, Michael A Horberg, Lisa P Jacobson, Amy C Justice, Gregory D Kirk, Marina B Klein, Jeffrey N Martin, Rosemary G McKaig, Benigno Rodriguez, Sean B Rourke, Timothy R Sterling, Aimee M Freeman and Richard D Moore{dagger},*

* Corresponding author. NA-ACCORD Coordinating Center, 1830 E. Monument St., Suite 8059, Baltimore, MD 21287, USA. E-mail: rdmoore@jhmi.edu

Keywords HIV, AIDS, cohorts, epidemiology

Accepted 27 November 2006

The first 150 words of the full text of this article appear below.


   How did the study come about?
 
The North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) was created as part of the International Epidemiologic Databases to Evaluate AIDS (IeDEA) initiative. The IeDEA project establishes regional centres for the collection and harmonization of data and the establishment of an international research consortium to address unique and evolving HIV/AIDS research questions requiring the larger sample sizes that can be achieved by combining multiple cohorts. The IeDEA initiative provides a means to implement methodology to effectively pool collected data, thus providing a cost-effective way to generate large data sets to address high-priority research questions in a timely manner. It is frequently difficult to combine data collected under different protocols, and may not be as efficient as collecting predetermined and standardized data elements under a single protocol. By developing a proactive mechanism for the collection of key variables, the IeDEA initiative is designed to enhance the quality, cost-effectiveness and . . . [Full Text of this Article]


   What does it cover and who is in the sample?
 

   How often have they been followed up?
 

   What has been measured? What is the attrition rate?
 

   What has been found? Key findings and publications
 

   What are the main strengths and weaknesses?
 

   How can I collaborate? Where can I find out more?
 
Process for outside collaborators
Process for adding new collaborating cohorts

   Appendix
 
NA-ACCORD participating cohorts and steering committee members

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