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Introduction to Modeling (Virtual)

LEVEL: Introductory
TRACK: Methodological & Statistical Research
LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours each day
 
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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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DESCRIPTION

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).

Faculty

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