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DIA 2021 Global Annual Meeting
The Data Scientist’s Handbook: ‘Good Science’ Principles in Non-Interventional Studies
Virginia Acha, PhD, MSc
- Global Lead, Global Regulatory Policy
- MSD, United Kingdom
Reflecting on recent efforts to define good science principles for non-interventional studies, this forum offers an introduction to the principles and practices that can enhance trust and the challenges that remain to broader acceptance.
Learning Objective : Describe the essential and contextual challenges for the health data scientist in the design, conduct, and use of data from non-interventional studies, including the use of real-world data; Define ‘good science’ principles to underpin robust and reliable study design and analysis that engenders trust and acceptance amongst healthcare decision makers, including for regulatory decision-making.
Bart Barefoot, JD
- Director, VEO, Real World Evidence Policy and Advocacy
- GlaxoSmithKline, United Kingdom
Patrice Verpillat, DrMed, MD, PhD, MPH
- Head of Global Epidemiology
- Merck Healthcare KGaA, Germany
Catherine Cohet, PhD
- Pharmacoepidemiology/RWE Expert, Data Analytics and Methods Task Force
- European Medicines Agency, Netherlands