Learning from Health Care Data to Improve Patient Outcomes and Public Health
Dates: October 23-24, 2018
Location: Seattle, Washington
This symposium will bring together biostatisticians, health informaticists, epidemiologists, and other data scientists to discuss health research and methods that involve large health care databases. Expert speakers will share their research on statistical approaches to learning from electronic health care data, methods for precision medicine, and health policy:
- Scott Zeger, PhD, John Hopkins Bloomberg School of Public Health
- Ruth Etzioni, PhD, Fred Hutchinson Cancer Research Center
- Lucy Savitz, PhD MBA, Kaiser Permanente Center for Health Research, Northwest & Hawaii
- Ross Prentice, PhD, Fred Hutchinson Cancer Research Center and University of Washington School of Public Health
- Mark van der Laan, PhD, University of California Berkeley School of Public Health
- Susan Gruber, PhD, Harvard T.H. Chan School of Public Health
- Rebecca Hubbard, PhD, University of Pennsylvania Perelman School of Medicine
- Sherri Rose, PhD, Harvard Medical School
- M. Alan Brookhart, PhD, University of North Carolina Gillings School of Global Public Health
- Sandy Griffith, PhD, Flatiron Health
Students and those new to the field of health care data analytics are especially encouraged to attend. On Monday, October 22, we are also offering two short courses on data adaptive causal inference in observational taught by Mark van der Laan, PhD and Susan Gruber, PhD and randomized studies and data visualization taught by Michael Jackson, PhD.
Our website and registration for the 2018 Symposium will open in early May. In the meantime, please take a look at our 2016 Symposium website to review the agenda, speaker bios, and speaker presentations from our previous symposium.
We hope to see you in Seattle this Fall!
The Symposium is sponsored by the Biostatistics Unit at Kaiser Permanente Washington Health Research Institute (KPWHRI) and the Department of Biostatistics at the University of Washington.