May 23, 2017 Sherri Rose will be a panelist presenting on real-world evidence and integrated data sets at the International Society for Pharmocoeconomics and Outcomes Research Meeting.
June 26, 2017 Sherri Rose will discuss her work on improved methods for risk adjustment in Medicare Advantage at the AcademyHealth Annual Research Meeting in New Orleans, LA.
July 2017 Sherri Rose will speak about improving health care system performance with normative data for payment calibration at the World Congress of the International Health Economics Association.
July 30, 2017 Sherri Rose will present on computational health economics for health care spending at the Joint Statistical Meetings in Baltimore, MD.
July 31, 2017 Lab student Kate Lofgren will present a SPEED poster on Quantifying the Value of Research: Identifying and Measuring Treatment Effect Modifiers at the Joint Statistical Meetings in Baltimore, MD.
August 2, 2017 Laura Hatfield will discuss Handling incomplete correlated continuous and binary outcomes in meta-analysis of individual participant data at the Joint Statistical Meetings in Baltimore, MD.
April 24, 2017 Lab faculty member Sherri Rose taught a half-day short course on targeted learning methods at the Channel Network Conference of the International Biometric Society (IBS). This conference was organized by the Belgium, France, Great Britain/Ireland, and Netherlands regions of the IBS.
April 24, 2017 Lab faculty member Laura Hatfield spoke on a panel about Medical Devices: Generating and Using Real-World Observational Data for Decision-Making on Value at the CADTH Symposium in Ottawa, ON.
March 13, 2017 Sherri Rose gave a presentation on computational health economics for identification of unprofitable health care enrollees at the ENAR Annual Meeting in Washington, DC.
March 14, 2017 Laura Hatfield spoke about models for Medicare supplemental insurance choices at the ENAR Annual Meeting in Washington, DC.
February 27-28, 2017 Lab faculty member Sherri Rose taught two half-day short courses on statistical machine learning at the Causal Inference Methods for Patient Centered Outcomes Research using Observational Data (CIMPOD) Conference.