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This is the "Introduction to R for health researchers" 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

Introduction to R for health researchers Print Page

Introduction to R for health researchers

General information about the course

R is a powerful and flexible software environment for statistical analysis, high quality graphics and decision modelling. R is freely available, facilitating analysis and model transparency and reproducibility. Last few years it has been increasingly popular among health researchers. 

The 1-day "Introduction to R for health researchers" course will be provided by the Biostatistics Research Unit (BRU) at UHN, THETA Collaborative and the Hospital for Sick Children.

Participant experience

Participants will be expected to have some basic knowledge of statistics but are not expected to be familiar with R. There will also be an option for real-time, interactive webinar participation in the course. Webinar participants will have the ability of audiovisual participation and access to a platform that will provide real-time support from the course instructors.

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


Tuesday, October 17, 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  during the day 

Introduction to R for health researchers

  • Getting to know the R interface
  • Getting help in R
  • Types of data
  • Importing/exporting data
  • Basic data handling
  • Loading packages
  • Simple mathematics in R
  • Scalars, Vectors and Matrices in R
  • Advanced data handling
  • Handling missing values / imputations
  • Plotting in R
  • Generating values from distributions
  • “For” and “if” statements ; the apply function
  • Building functions in R
  • Installing R studios


Faculty Members 2017

George Tomlinson, MSc, PhD, Biostatistician, Director of the Biostatistics Research Unit, University Health Network, Toronto;  Associate Professor at the Institute of Health Policy, Management and Evaluation, University of Toronto. 

Nicholas Mitsakakis, MSc, PhD, Biostatistician at Biostatistics Research Unit (BRU) at University Health Network,  Assistant Professor at the Institute of Health Policy, Management and Evaluation, University of Toronto. 

Petros Pechlivanoglou, MSc, PhD, Health Economist, Scientist at Child Health Evaluative Sciences, Sick Kids Hospital, Toronto.

John Matelski, MSc, Biostatistician at the Biostatistics Research Unit, University Health Network, Toronto

Jin Ma, MSc, PhD, Biostatistician at the Biostatistics Research Unit, University Health Network, Toronto.

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Fees & Registration

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

  • 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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