Academic Partners
- Aarhus University(1)
- Botswana Harvard AIDS Institute Partnership(7)
- Columbia University(1)
- Duke University School of Medicine(1)
- Emory University(1)
- Harvard T.H. Chan School of Public Health(10)
- Johns Hopkins Bloomberg School of Public Health(2)
- National Cheng Kung University(1)
- UNC Project Vietnam(1)
- University of Alabama at Birmingham(3)
- University of California Berkeley(2)
- University of California Los Angeles(1)
- University of California San Francisco(2)
- University of North Carolina at Chapel Hill(26)
- Washington University School of Medicine(3)
Asset Type
Cohort/Protocol
Decision Type
Disease Indication
Government Partners
Industry Partners
Presentation Type
Publication Source
- AIDS and Behavior(1)
- American Journal of Epidemiology(2)
- Annals of Epidemiology(1)
- arXiv(1)
- Clinical Epidemiology(2)
- Clinical Infectious Diseases(1)
- Clinical Pharmacology & Therapeutics(1)
- DIA RWE Conference(2)
- Epidemiology(1)
- ICPE(18)
- International Journal of Epidemiology(2)
- ISPE
- ISPE Annual Conference(1)
- ISPOR Annual Conference
- JAMA(1)
- Journal of the American College of Cardiology
- Pharmacoepidemiology & Drug Safety(4)
- PMSA Annual Conference
- Society for Epidemiologic Research (SER)(2)
- Society for Epidemiology Research (SER)(1)
- Statistics in Medicine(1)
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Pedestal Health projects leverage Headwater Science methods, technology and causal inference expertise where the analytical complexity is highest, comparative effectiveness studies that require dynamic treatment design, regulatory-grade external control work, methodological consultation on submission packages, and the kinds of bias-protection frameworks that consequential evidence increasingly requires.
Pedestal Health projects leverage Headwater Science methods, technology and causal inference expertise where the analytical complexity is highest, comparative effectiveness studies that require dynamic treatment design, regulatory-grade external control work, methodological consultation on submission packages, and the kinds of bias-protection frameworks that consequential evidence increasingly requires.