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Activity Number: 281 - When Statistical Methods Impact Policy
Type: Invited
Date/Time: Tuesday, July 30, 2019 : 8:30 AM to 10:20 AM
Sponsor: Health Policy Statistics Section
Abstract #300142 Presentation
Title: When Statistical Methods Impact Policy
Author(s): Sherri Rose* and Dionne Price* and Miguel Marino* and Michael Baiocchi*
Companies: Food and Drug Administration and Harvard Medical School and Oregon Health Sciences University and Stanford University
Keywords: health policy; health outcomes; data science; machine learning; fairness; sexual assault

This hybrid invited panel will incorporate short talks as well as structured Q&A and focus on statistical methods that have specifically contributed to policy change. Each panelist will give a 15 minute presentation on a cutting edge area of statistics impacting health policy: (1) Statistical lifecycle of EvidenceNOW: Evaluating a national initiative to improve heart health in primary care, (2) Plan payment risk adjustment, benchmarks, and fairness, (3) Several major wins in the fight against sexual assault - statistical insights from the front lines, and (4) The intersection of policy and statistics at the Food and Drug Administration. This will be followed by a structured discussion among the panelists incorporating audience Q&A. Planned discussion topics include how to get your research in front of the right people to inform policy, publication strategies, and the balance between statistical optimality and practical considerations. Our invited session brings innovation and broad perspectives to the challenge of deploying statistical methods for enacting policy change.

Authors who are presenting talks have a * after their name.

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