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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. 

ISPOR members can immediately access everything that HEOR Learning Lab offers and  that includes high-value content selected from the Society’s conferences, summits, and other seminal events. Content is focused on the most topical themes impacting the field, including real-world evidence, patient-centered research, digital health, artificial intelligence and machine learning, health technology assessment, economic methods, healthcare financing, access and policy, learning healthcare systems, and much more. Nonmembers can gain access by either becoming a member or subscribing to HEOR Learning Lab

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March 1-2: Introduction to Modeling- Virtual

March 1, 2023 - March 2, 2023

Back to all short courses

Introduction to Modeling (Virtual)

Methodological & Statistical Research
4 Hours | Course runs 2 consecutive days, 2 hours each day
Register Here

Wednesday, 1 March 2023 | Course runs 2 consecutive days
10:00AM–12:00PM Eastern Standard Time (EST)
15:00PM–17:00PM Coordinated Universal Time (UTC)
16:00PM–18:00PM Central European Time (CET)

Thursday, 2 March 2023 | Course runs 2 consecutive days
10:00AM–12:00PM Eastern Standard Time (EST)
15:00PM–17:00PM Coordinated Universal Time (UTC)
16:00PM–18:00PM Central European Time (CET)

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This course gives a brief overview of different decision-analytic model types and provides an introduction to decision tree and Markov modeling techniques and their practical application in economic evaluation and outcomes research. Faculty will present analytic approaches including deterministic cohort simulation and Monte Carlo microsimulation and will provide some technical instructions for modelers. Participants learn about the concepts of variability, uncertainty, causality, probabilistic sensitivity analysis (PSA), cost-effectiveness acceptability curves (CEAC), and efficiency-equity tradeoffs. Additionally, faculty will use the recommendations of the ISPOR-SMDM Joint Modeling Good Research Practices Task Force to explore when and how modeling should be used in economic evaluation and which are the suitable model techniques. This course is designed for those with no or some familiarity with modeling techniques.

PREREQUISITE: Attendance at this course or equivalent knowledge is a prerequisite to "Pharmacoeconomic Modeling--Applications" (6-7 June).


Uwe Siebert, MD, MPH, MSc, ScD
Professor & Chair
UMIT - University for Health Sciences
Medical Informatics and Technology
Innsbruck, Austria and
Harvard Chan School of Public Health
Harvard University
Boston, MA, USA

Basic Schedule:
Class Time: 2 hours daily

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