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This is the "Decision Modelling Using R" page of the "Welcome to Toronto Health Economics and Technology Assessment Collaborative" guide.
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Welcome to Toronto Health Economics and Technology Assessment Collaborative  

Last Updated: Jan 19, 2018 URL: http://theta.utoronto.ca/HomePage Print Guide

Decision Modelling Using R Print Page

Decision modelling using R

General information about the course


We are happy to announce that the Child Health Evaluative Sciences (CHES) program of the Hospital for Sick Children’s Research Institute, in partnership with the Toronto Health Economics and Technology Assessment (THETA) Collaborative will be giving a 3-day workshop on Decision modeling using R.

For more information and registration please visit course website or view the workshop flyer.

For novice R users, a 1-day 'Intro to R' course will be offered on Oct. 17th, 2017.

Decision models are becoming more and more complex in order to better represent the underlying clinical conditions and to provide more and better insight to decision makers. New methodological techniques around decision modelling are being developed which rely heavily on statistical and mathematical techniques (e.g. model calibration, value of information, evidence synthesis). Current commercially available software can be limiting as they sometimes provide limited flexibility in embedding such statistical techniques within a decision model framework.

R is an open-source software that provides a flexible environment where advanced statistical analyses can be combined with decision models of varying complexity within the same framework and the results can be presented in publication ready tabular and graphical forms. The fact that R is freely available also improves model transparency and reproducibility.

Participant experience

Participants will be expected to have some experience with decision modelling and to be able to grasp basic concepts of economic evaluation. Participants are also expected to be familiar with R. For novice R users, a 1-day Intro to R course will be offered on October 17, 2017  at the same location, as well as over webinar.

Contact information & location details

The course will be provided at:

The Hospital for Sick Children
Peter Gilgan Centre for Research & Learning
686 Bay Street—L6 East
Toronto, ON M5G 0A4
11th floor RM 11-119701


Wednesday, October 18th to Friday, October 20th, 2017.

9:00 AM - 5:00 PM

For more information please contact: natasha.naraidoo@sickkids.ca



Please find below a list of the topics that will be covered across the three days. (NOTE: This is a proposed structure. Changes in the topics and the order across the three days are likely to happen until the course date)

Day 1: Introduction to decision modelling using R

  • Choosing between alternative decision modelling software- the advantages and disadvantages of R
  • A brief introduction to R
  • A (very) brief introduction to matrix algebra
  • Conceptualizing and operationalizing decision models in R
  • Building a decision tree based model (deterministic analysis)
  • Building a state-transition model (deterministic analysis)

Day 2: Advanced topics in decision modelling using R

  • Conceptualizing and operationalizing microsimulation models in R
  • Building a microsimulation model
  • Distributions and sampling processes in R
  • Advanced topics in decision modeling/model calibration
  • Evidence synthesis and decision modeling in R

Day 3: Probabilistic models in R

  • Parameter uncertainty in decision trees/ state transition/microsimulation models
  • Introduction to meta-modeling 
  • Introduction to Value Of Information in R
  • Analyzing and presenting the results of a probabilistic model in R.



Faculty Members 2017

Petros Pechlivanoglou , M.Sc., PhD, Scientist, Hospital for Sick Children, Toronto

Fernando Alarid-Escudero, M.Econ., PhD(c), School of Public Health, Division of Health Policy and Management, University of Minnesota, Minneapolis, MN

Hawre Jalal, PhD, Department of Health Policy and Management and Public Health Dynamic Laboratory, Pittsburgh University, Pittsburgh, PA

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Fees & Registration

3-Day Event from Wednesday, October 18, 2017 - Friday, October 20, 2017, 9 AM- 5 PM

Register for this course here.
For more information please contact: natasha.naraidoo@sickkids.ca

Course Fee:  

1 Day Workshop

Introduction to R for Decision Modellers Webinar or In-Person (Oct. 17th, 2017)
CAD $ 200.00

3 Day Workshop

In-Person Attendance - (Oct.18th - 20th)
CAD $ 700.00
**EARLY BIRD Register by Sept. 8th - $600

Webinar Attendance - (Oct. 18th - 20th)
CAD $ 400.00
**EARLY BIRD Register by Sept. 8th - $350

Student In-Person Attendance - (Oct. 18th - 20th)
CAD $ 300.00

Student Webinar Attendance - (Oct. 18th - 20th)
CAD $ 200.00

  • Leslie Dan Faculty of Pharmacy at the University of Toronto
  • Institute of Health Policy, Management and Evaluation (IHPME)
  • UHN - Toronto General Hospital

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