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Session 4: Why Statisticians Need to Understand Health Technology Assessments
Session Chair(s)
Estelle Russek-Cohen, PhD
Senior Advisor, Office of Biostat
FDA, United States
The added clinical value, and in some countries the economic value, of a new intervention is systematically evaluated to determine whether it should be included in health benefit plans or disease management programs and be reimbursed by health care providers. Health technology assessment (HTA) can help determine if a new technology is clinically effective, and where appropriate cost effective, relative to current interventions used in routine clinical practice. Consideration of HTA activities are integral to the drug development process for new interventions, and early awareness of activities required to support HTAs can impact clinical study designs, and improve and enhance the evidence generated during the clinical development program. This session gives an overview of HTAs, particularly in terms of statistical issues and challenges statisticians will need to address.
Speaker(s)
Speaker
Christine Fletcher, MSc
GlaxoSmithKline, United Kingdom
VP/Head, Speciality and Primary Care Statistics
Speaker
Shelby Derene Reed, MD
Duke University School of Medicine, United States
Professor in Medicine
Speaker
Elise Berliner, PhD
Oracle Life Sciences, United States
Global Senior Principal for Real World Evidence Strategy
Panelists (joining the Speakers):
Claire Telford, PhD, MSc
AstraZeneca, United States
Director, Health Economics & Payer Analytics
Ellis Unger, MD
Hyman, Phelps & McNamara, P.C., United States
Principal Drug Regulatory Expert
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