Join three panelists who provide a practical overview of how and why to use Medicare data for real world studies.
PHAR has conducted hundreds of studies using RWD and has been using Medicare data for more than a decade. A specific research project will be examined to highlight some important nuances in conducting these kinds of studies.
Key Topics Include:
- The main types of Medicare data available to researchers
- The process by which these data sets are obtained
- Strengths and weakness of Medicare data for conducting various types of RWD analysis
- Tricks and tips for completing your first study with Medicare data
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Resources
Presenters
Vice President and Chief Statistician
Partnership for Health Analytic Research (PHAR)
Dr. Eunice Chang is a mathematician and statistician with 30 years’ experience in applying statistical analysis and design in a range of data types, including longitudinal surveys; commercial, Medicare, and Medicaid claims; and EHR. At PHAR, she leads many secondary data analyses and provides methodological and statistical support on others.
Principal Health Economist
Genentech, Inc.
Mitra Corral has been a Principal Health Economist at Genentech since 2018. She has extensive experience in HEOR having worked in Managed Care, Pharmaceutical, and Medical Device organizations. She earned her MS in Statistics from Rutgers University and an MPH in Epidemiology from University of Medicine & Dentistry of New Jersey.
President
Partnership for Health Analytic Research (PHAR)
Dr. Michael Broder has 30 years' experience in health economic and outcomes research. He has conducted dozens of expert panels on a wide variety of topics. In addition to being an experienced health services researcher, he is a board-certified physician and provides clinical expertise for many studies at PHAR.
Webinar Host
Partnership for Health Analytic Research (PHAR)
PHAR brings together experienced methodologists and trained clinicians to produce high-quality real-world evidence that unlocks the hidden value of our clients’ innovative products.
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