LEVERAGING EXISTING DATA AND ANALYTIC METHODS FOR HEALTH DISPARITIES RESEARCH RELATED TO AGING AND ALZHEIMER’S DISEASE AND RELATED DEMENTIAS
Sponsored by: National Institute for Health (NIH)
March 9, 2021
March 10, 2021
This two-day workshop will be focused on analysis of population data and demonstrating how studies using established administrative data resources such as Medicare claims databases combined with complex well-established and innovative analytic approaches (such as partitioning analyses, time-series based methods of projection and forecasting, and stochastic process models) can be used to uncover previously overlooked or understudied aspects in this area of research.
- increase collaboration and partnership in an interdisciplinary research community focused on analytic methods for large-scale population and clinic-related data
- construct a bridge between independent research subgroups
- identify ways to achieve synergistic effects in multidisciplinary research by combining innovative approaches developed across different research groups
Ultimately, our long-term goal is to diffuse the active use of advanced analytic methods for analyses of existing big health population datasets in health disparity research.