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HEOR Learning Lab™ is an educational resource for professionals who work or have an interest in the field of health economics and outcomes research (HEOR). This resource provides unlimited, on-demand, educational video content to facilitate learning and innovative approaches in the field from the leading global organization in HEOR. 

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March 29-30: Cost-Effectiveness Analysis Alongside Clinical Trials- Virtual
event-Short-Courses

March 29, 2023 - March 30, 2023

Back to all short courses

Cost-Effectiveness Analysis Alongside Clinical Trials (Virtual)


LEVEL:
Introductory
TRACK:
Economic Evaluation
LENGTH: 
4 Hours | Course runs 2 consecutive days, 2 hours each day
 
Register Here

Wednesday, 29 March 2023 | Course runs 2 consecutive days
10:00AM–12:00PM Eastern Daylight Time (EDT)
12:00PM-14:00PM Argentina Time (ART)
15:00PM–17:00PM Coordinated Universal Time (UTC)

Thursday, 30 March 2023 | Course runs 2 consecutive days
10:00AM–12:00PM Eastern Daylight Time (EDT)
12:00PM-14:00PM Argentina Time (ART)
15:00PM–17:00PM Coordinated Universal Time (UTC)


Click for time zone conversion


DESCRIPTION

The growing number of prospective clinical/economic trials reflects both widespread interest in economic information for new technologies and the regulatory and reimbursement requirements of many countries that now consider evidence of economic value along with clinical efficacy. This course will present the design, conduct, and reporting of cost-effectiveness analyses alongside clinical trials based on, in part, "Good Research Practices for Cost-Effectiveness Analysis alongside Clinical Trials: The ISPOR RCT-CEA Task Force Reports". Trial design, selecting data elements, database design and management, analysis, and reporting of results will all be presented. Trials designed to evaluate effectiveness (rather than efficacy), as well as clinical outcome measures, will also be discussed, including how to obtain health resource use and health state utilities directly from study subjects and economic data collection fully integrated into the study. Analyses guided by an analysis plan and hypotheses, an incremental analysis using an intention to treat approach, characterization of uncertainty, and standards for reporting results will be presented. Familiarity with economic evaluations will be helpful.


Faculty

Shelby Reed, RPh, PhD
Professor
Department of Population Health Sciences
School of Medicine, Duke University
Durham, NC, USA

Federico Augustovski, MSc, PhD, MD
Director, Health Technology Assessment and Health Economics Department
Institute for Clinical Effectiveness and Health Policy; 
Researcher, CONICET; and Professor
University of Buenos Aires
Buenos Aires, Argentina



Basic Schedule:
Class Time: 2 hours daily

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