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| MOSA29 |
Global Cohort Collaborations and the Role of Extremely Large Datasets in HIV/AIDS and Other Diseases. The Potential, the Challenges, the Future Opportunities |
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Non-Commercial Satellite
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| Venue: |
Mini Room 9 |
| Time: |
23.07.2012, 18:30 - 20:30 |
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Co-Chairs:
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Veronica Miller, United States
Charles B. Holmes, United States
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| Organiser: |
International Epidemiologic Databases to Evaluate AIDS (IeDEA) and EuroCoord (Enhancing Clinical and Epidemiological HIV Research in Europe through Cohort Collaboration)
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| This satellite is to demonstrate the role of large data collaborations in public health research. Through thoughtful global collaborations, data driven approaches to care can be developed and evaluated in diverse settings and across diverse populations. This program is intended to bring forward the opportunities, but to also clearly demonstrate the challenges of these large datasets. Internationally recognized clinicians, statisticians and epidemiologists will address this theme in a manner which is accessible and intended to foster cross-discipline discussion. |
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18:30
Powerpoint | Introductions
V. Miller, United States
| 18:35
| Good Models Need Great Data
T. Hallet, United Kingdom
| 18:55
Powerpoint | Creating, Visualizing and Disseminating Large Data Sets: The AIDSVu Experience
P. Sullivan, United States
| 19:05
Powerpoint | Novel methods: Causal questions and new tools for answering them
M. Petersen, United States
| 19:15
| HIV Collaboration Data Exchange Protocol (HICDEP): enabling, simplifying and accelerating HIV-1 epidemiological research
J. Kjaer, Denmark
| 19:25
| Capturing long-term global pediatric HIV outcomes through a cohort-of-cohorts approach
A. Sohn, Vietnam
| 19:35
Powerpoint | The "rare" patient
J. Del Amo, Spain
| 19:45
| Using big data to generate big impact: a consumer's perspective
L. Stabinski, United States
| 19:55
| Question and Answer Period
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| Powerpoints presentations |
| Introductions - Veronica Miller | |
| Creating, Visualizing and Disseminating Large Data Sets: The AIDSVu Experience - Patrick Sullivan | |
| Novel methods: Causal questions and new tools for answering them - Maya Petersen | |
| The "rare" patient - Julia Del Amo | |
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