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Statistical Methods for Health Economics & Outcomes Research 

LEVEL - Introductory
TRACK - Economic Evaluation
LENGTH: 4 Hours + 30 Minute Mid-course Break

PREREQUISITE: Familiarity with R coding is not required for attendance, however it would be beneficial and background material can be provided to those with little R experience.

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DESCRIPTION

This highly practical course will outline the computational and transparency advantages of R over Microsoft Excel for use in health economic modelling. This short course explores the use of R for health economic modelling in the context of health economics and outcomes research (HEOR). The faculty will guide the participants through practical examples of health economics and outcomes research (HEOR). The faculty will also lead participants through practical examples of health economic modelling including, using R for decision trees and Markov models from deterministic analysis through to sensitivity analysis and EVPI. All sessions will interchange between descriptive lectures and hands-on exercises. Participants will be provided with materials following the course, including model examples and information on where to go for further learning. This course is designed for those familiar with the modelling techniques and concepts of decision tree models, probabilistic sensitivity analysis, and discrete time cohort Markov models. This course is designed for those with some familiarity with modelling techniques, but familiarity with R coding is not required.

Attendees will require a laptop with RStudio (v1.1.0 or higher) and R (v3.5.0 or higher) downloaded and installed

FACULTY MEMBERS

Felicity Lamrock, PhD
Lecturer in Data Analytics
Mathematical Science Research Centre
Queen’s University Belfast
Belfast, Northern Ireland

Gianluca Baio, PhD
Professor of Statistics & Health Economics
Department of Statistical Science
University College London
London, UK

Rose Hart, PhD
Senior Health Economist
BresMed
Sheffield, UK

Howard Thom, PhD, MSc
Lecturer in Health Economics
Lecturer in Health Economics Bristol Medical School (PHS)
University of Bristol
Bristol, UK

Basic Schedule:
2 hours of content | 30 minute break | 2 hours of content